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ImpactMojoFeminist Research 101www.impactmojo.in
ImpactMojo 101 Series · Free Forever
Feminist
Research
101
How Power Shapes Knowledge — and How to Do Research That Answers Back. A Foundational Course for Development Researchers in South Asia
Theory-RichSouth Asia Focus100 SlidesFree Access
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What We Cover
01
What Feminist Research Is
Slides 3–10
02
A Short History
Slides 11–19
03
Core Commitments
Slides 20–28
04
Standpoint Theory
Slides 29–37
05
Situated Knowledges
Slides 38–46
06
Intersectionality in Research
Slides 47–55
07
Feminist Methods
Slides 56–64
08
Ethics & Non-Extraction
Slides 65–73
09
Reflexivity & Relationships
Slides 74–81
10
Decolonial & Southern Feminisms
Slides 82–90
11
Doing It & Further Reading
Slides 91–99
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01
Section One
What Feminist Research Is
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Not just 'research about women'
The commonest misconception: feminist research means studying women, or adding a 'gender' variable. It does not. Feminist research is a way of doing research — a stance on knowledge, power and method — that can be applied to any topic, including ones with no women in sight.
You can study irrigation policy, fiscal transfers or migration feministically. The subject is not the point; the way you produce and use knowledge is.
Not thisBut this
A topic (women)A stance on knowledge and power
A variable added to a modelA question about who set the model
A method (qualitative)Any method, used with these commitments
A field of studyA way of doing any study
The confusion is consequential in practice: a project told to "add a feminist lens" typically responds by adding a sex-disaggregation table, which changes nothing about the question.
The test is whether the framing of the research question changed. If only the analysis changed, the lens was applied at the wrong stage.
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Research as a political act
Feminist research
Inquiry that treats knowledge production as shaped by power — especially gendered power — and that works deliberately to surface, question and shift that power rather than reproduce it. It asks not only 'what is true?' but 'true for whom, told by whom, in whose interest?'
Every research choice — what to ask, whom to count, which categories to use — carries values. Feminist research makes those values explicit instead of hiding them behind a claim of neutrality.
Conventional research asksFeminist research also asks
What is true?True for whom?
Is the method sound?Whose question is this?
Is the sample representative?Who is structurally missing?
What do the findings show?Who benefits from this finding?
The additions are not a replacement for the first column. Feminist research is held to ordinary standards of evidence and adds a second set of questions on top.
Calling research a political act is a description rather than a programme: it says the choices are consequential, not that findings should be chosen politically.
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Knowledge is produced, not found
01
Someone decides a question is worth asking
02
Someone chooses what counts as evidence
03
Someone selects who is asked, and how
04
A 'fact' is produced — bearing all those choices
Knowledge does not fall from the sky as neutral fact. It is made — in institutions, by people, under constraints. Feminist research insists we examine the making, not just the made.
Decision pointWho usually makes it
Which question is worth askingThe funder
What counts as evidenceThe discipline
Who is askedThe sampling frame
How answers are codedThe researcher
What is publishedThe journal or the client
Every row is a choice made by someone, and the resulting fact carries all five choices with it while presenting itself as simply true.
Documenting these five decisions is the minimal practical form of the whole argument, and it is something any study can do.
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Three kinds of power in any study
Whose question?
Power to decide what is worth studying at all
Whose voice?
Power over who speaks and who is spoken about
Whose benefit?
Power over who gains from the knowledge produced
Conventional research often leaves all three with the researcher and the funder. Feminist research treats each as a question to be answered openly, not a default to be assumed.
Power overHeld byVisible as
The questionFunder and researcherThe terms of reference
The voiceThe instrumentClosed categories
The benefitThe institutionPublication and career
Conventional research examines the third row least, and it is the one participants notice most: their time produced something they will never see.
Naming who benefits, in the proposal, is uncomfortable and clarifying. It usually reveals that reciprocity was assumed rather than planned.
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Development research is never neutral
In South Asian development, research decides who is 'poor enough' for a scheme, whose labour counts as work, which households are 'female-headed'. These are not technical definitions — they are decisions about whose reality the state will see and act on.
When unpaid care work is excluded from 'economic activity', millions of women become statistically invisible. The measurement choice is the politics.
A research definition decidesConsequence
Who counts as poorWho receives a benefit
What counts as workWhose labour is visible
What is a household headWhose circumstances are recorded
What counts as violenceWhat can be reported
These look like technical measurement decisions and function as allocation decisions, which is why they attract political pressure and rarely admit it.
When a definition changes and a number moves, ask whether the world changed or the category did. Both happen and they are frequently confused.
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Same topic, two ways of asking
Conventional framingFeminist framing
QuestionWhat is the female labour-force participation rate?Why does so much of women's work go uncounted?
CategoriesEmployed / unemployedPaid, unpaid, care, subsistence, hidden
VoiceSurvey codes the respondentRespondent helps define the categories
AimMeasure a gapQuestion who built the measure
Both can be rigorous. The feminist version refuses to take the existing categories as neutral givens.
ConventionalFeminist
QuestionWhat is the participation rate?Why is so much work uncounted?
CategoriesEmployed / unemployedPaid, unpaid, care, subsistence
UnitThe householdThe individual within it
RespondentThe headThe woman herself
OutputA rateAn account of what the rate omits
Neither column is wrong. The right one asks a question the left one cannot, and answering it changes what the rate means rather than replacing it.
Note the fourth row. Asking the woman directly rather than through the household head is a methodological change with large, measured effects on the answers.
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What feminist research is not
  • Not automatically qualitative — feminists do statistics too
  • Not unrigorous or 'just opinion' — it is held to high standards
  • Not only for or about women — gender structures everyone
  • Not value-free pretending — it is value-explicit by design
Making values explicit is the opposite of bias. Hidden values do the damage; named values can be debated and checked.
MisreadingThe reality
It is always qualitativeFeminist statistics is a substantial field
It is unrigorousIt asks for more scrutiny, not less
It is only about womenGender structures everyone’s position
It abandons objectivityIt argues for a stronger version of it
The last row is the substantive claim and is developed in Section 4: Harding’s argument is that mainstream objectivity is too weak, not that objectivity is impossible.
Meeting the misreadings directly is worth doing early in any proposal. They arrive from reviewers reliably and are answerable in a paragraph.
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02
Section Two
A Short History
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A critique of 'objective' science
Feminist research began as a critique. Western science claimed to produce universal, neutral, view-from-nowhere knowledge — yet its questions, its researchers and its assumptions were overwhelmingly elite, male and metropolitan.
If the knowers were so partial, feminists asked, how could the knowledge be so universal? The claim to neutrality was itself a position — an unmarked one.
Science claimedThe critique observed
A view from nowhereA view from somewhere specific
Universal findingsSamples of one group generalised
Neutral questionsQuestions reflecting who asked
Objectivity through detachmentDetachment as its own position
The critique began with documented cases — medical research conducted on men and generalised to everyone is the most familiar — rather than with philosophy.
That empirical grounding matters: the argument is that unexamined position produces demonstrably worse findings, which is a testable claim.
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A rough map of feminist movements
WaveRoughlyCentral concern
FirstLate 19th – early 20th c.Suffrage, legal personhood, property
Second1960s – 1980sSexuality, labour, 'the personal is political'
Third1990s onwardDifference, intersectionality, identity, voice
Fourth2010s onwardDigital, networked, #MeToo, global solidarities
The 'waves' are a Western shorthand, contested and imperfect — South Asian feminisms followed their own timelines. Use the map loosely, not as gospel.
WaveResearch consequence
FirstLegal personhood as a subject of study
SecondThe private sphere becomes researchable
ThirdDifference and intersectionality
SinceDigital, decolonial, data
The wave metaphor is contested and useful as a rough map. It flattens non-Western feminist histories, which did not follow this sequence.
For research the second wave was the decisive one: it made housework, care, sexuality and domestic violence legitimate objects of study.
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A slogan that reshaped research
The second-wave insight that private life — housework, care, violence, the body — is structured by public power had a profound research consequence: domains once dismissed as too private to study became central objects of serious inquiry.
Unpaid care, intimate-partner violence and household bargaining are now mainstream research topics. They were not, until feminists insisted the kitchen and the bedroom were political spaces.
Once dismissed as privateNow researched as
HouseworkUnpaid labour, measurable in time-use
CareAn economy
Domestic violenceA public health and rights issue
ReproductionA site of policy and power
Each of these had to be argued into existence as a research subject, against the position that it was a private matter and therefore not a public concern.
The argument is not finished. Several remain badly measured precisely because the categories were built when they were not considered work.
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Harding's map of feminist approaches
Sandra Harding influentially distinguished three feminist responses to the problem of biased science — not stages to pass through, but distinct positions still in use today.
01
FEMINIST EMPIRICISM: better science fixes the bias
02
STANDPOINT THEORY: the margins see more clearly
03
POSTMODERN: distrust all universal claims to truth
Harding’s positionDiagnosisRemedy
Feminist empiricismBias is bad scienceDo science more carefully
Standpoint theoryPosition shapes what can be knownStart from the margins
Postmodern feminismNo single account is completeMultiple partial accounts
These are live positions rather than historical stages, and researchers use them selectively depending on the question.
The empiricist position is the easiest to operationalise and the least demanding; the standpoint position asks you to change who sets the question.
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Feminist empiricism: do science better
Feminist empiricism
The view that sexist and androcentric bias is bad science — a failure to follow scientific norms rigorously — and can be corrected by more careful, more inclusive empirical work, without abandoning objectivity itself.
Its strength: it works within the existing rules and shows, empirically, where mainstream science got things wrong. Its limit: it leaves the ideal of a neutral, value-free method largely unquestioned.
Empiricist fixExample
Include the excluded groupWomen in clinical trials
Check the instrument for biasOccupational codes with no care category
Diversify who researchesDifferent questions get asked
Apply existing norms rigorouslyNo new epistemology needed
This position is powerful because it requires no philosophical agreement: it argues that bias is a technical failure and can be corrected within existing standards.
Its limit is that it cannot see bias built into the standards themselves — which is exactly what the next two positions address.
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Standpoint theory: knowledge from the margins
The second position goes further: it argues that those at the margins of power can produce better, less distorted knowledge of how a system works, precisely because they must understand both their own world and that of the powerful to survive.
We give standpoint theory a full section next — it is one of feminist research's most distinctive and debated contributions.
Standpoint claimsWhich is a claim about
Position shapes what is knowableEpistemology, not sympathy
The margins see more of the systemStructure, not virtue
A standpoint is achieved, not givenAnalysis, not identity
The third row is regularly lost. A standpoint in Harding’s sense is an analytical achievement arrived at through struggle and reflection, not an automatic property of belonging to a group.
That distinction answers the commonest objection — that standpoint theory reduces to identity — and it is worth stating explicitly when the objection is made.
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Postmodern feminism: suspicion of grand truths
The third position is wary of any single account of the truth, including a single 'woman's standpoint'. It stresses that 'woman' is not one thing, that all knowledge is partial and constructed, and that universalising claims tend to silence difference.
Its gift is humility and attention to difference; its danger is a relativism that can dissolve the political ground feminism needs to stand on. Most researchers hold the tension, not resolve it.
Postmodern position holdsWhich risks
No single account is completeRelativism
"Woman" is not one categoryLosing a political subject
All knowledge is constructedLosing the ground to criticise
Multiplicity is the answerParalysis
The risks are real and were the subject of substantial argument inside feminism during the 1990s, largely because a movement needs a subject to organise around.
Haraway’s situated knowledge, in Section 5, is the most influential attempt to hold the insight without the relativism.
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These debates were never only Western
Parallel and independent feminist scholarship grew in South Asia — on women and work, on caste and patriarchy, on the household as a site of inequality — engaging Indian realities that Western frameworks often missed entirely.
We return to Indian feminist scholarship and the question of caste in Section Ten. Keep it in view: the 'history' is plural, not a single Western line.
South Asian questionWestern frameworks handled badly
Caste and patriarchy togetherRace-based frames did not fit
The household as a site of inequalityAssumed a nuclear unit
Women’s invisible labourFormal-employment categories
Personal law and religionA secular-state assumption
This scholarship developed in parallel rather than derivatively, and treating it as a local application of Western theory is itself an instance of the problem Section 10 describes.
Cite regional scholarship as theory rather than as case material. That is one of the concrete decolonising practices this course later sets out.
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03
Section Three
Core Commitments
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What holds feminist research together
Feminist research spans many methods and traditions, but a family of commitments recurs across them. Five appear again and again — the working ethics of the whole approach.
01
REFLEXIVITY
02
POSITIONALITY
03
POWER
04
VOICE
05
RECIPROCITY
CommitmentThe one-line test
ReflexivityWhat did I change because of it?
PositionalityWhich axes mattered here?
PowerWho set the question?
VoiceWhose categories are these?
ReciprocityWhat flowed back, and when?
Five commitments, five questions. Together they are a more usable summary of feminist methodology than any definition of it.
They are also independent: adopting any one of them improves a study, and none requires the others to be in place first.
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Reflexivity: the researcher in the frame
Reflexivity
The continuous, critical examination of how the researcher's own identity, assumptions, methods and presence shape every stage of the research — and the honest reporting of that influence.
Conventional method tries to remove the researcher from view. Feminist method puts the researcher in the picture, as a visible part of how the knowledge was made.
Reflexivity asksAt which stage
Why this question?Design
Who will talk to me, and why?Access
What am I not being told?Fieldwork
Whose reading is this?Analysis
Whose voice does the text carry?Writing
Reflexivity is not a section at the end. It is a set of questions asked at each stage, and the answers should visibly change decisions.
Keep a short journal entry after each fieldwork day recording what surprised you and what you assumed. It is the raw material for the reflexive account.
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Positionality: where you stand shapes what you see
Positionality
The recognition that your social location — gender, caste, class, race, language, nationality, institutional power — conditions your access, your blind spots and the responses you receive.
A high-caste urban researcher and a local Dalit fieldworker asking the same question will not get the same answers. Positionality is not a confession to make once; it is an analytic tool to use throughout.
Your position onAffects
GenderWho will speak to you alone
CasteWhich households welcome you
LanguageWhat nuance you can hear
InstitutionWhether you are read as an official
AgeWho defers, and who dismisses
These are empirical effects on data quality, not moral facts about you. A researcher read as an official gets scheme-eligibility answers, whatever they say about themselves.
Name the axes that mattered in this study rather than listing every identity. A positionality paragraph is useful when it explains something about the data.
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Power: it runs through the whole encounter
Power is not only in the topic studied; it saturates the research relationship — who sets the agenda, who can interrupt, who interprets, who publishes, who is paid.
Researcher holds
  • The agenda and the questions
  • The means of interpretation
  • The platform to publish
Researched may hold
  • What they choose to reveal
  • Knowledge the researcher lacks
  • The power to refuse or mislead
The researcher controlsThe participant controls
The agenda and questionsWhat to say, and what not to
The record and interpretationWhether to grant access again
PublicationSilence
The timelineTheir own time
Naming the participant’s levers is not decoration. Silence and withheld detail are the ordinary forms of resistance in an unequal interview, and they shape your data.
A refusal to answer is information. Record it rather than treating it as missing data, and look at the pattern of refusals across the sample.
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Voice: who gets to speak, and be heard
Feminist research takes seriously the task of letting people speak in their own terms — and notices when its own categories drown them out. But 'giving voice' is itself a power the researcher holds, and must be handled with care.
Beware the trap: claiming to 'give voice' can quietly re-centre the researcher as the one who grants it. The aim is to amplify and not to ventriloquise.
"Giving voice" risksBetter framing
Implying they had noneThey spoke; you amplified or edited
The researcher choosing what is heardSay what you selected and why
Quotation as decorationQuotation as evidence
Speaking for rather than withCo-authorship where possible
The phrase assumes an absence that is usually not there: people were speaking, and the question is who was listening and who had the platform.
Where you quote, say how the quotation was selected. A single vivid line from two hundred interviews is a choice, and readers cannot see it.
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Reciprocity: research that gives back
Reciprocity
The principle that a research relationship should not be purely extractive — that those who give their time, stories and trust should receive something in return, whether knowledge, recognition, or material support.
It can be small (sharing findings in accessible form) or large (co-designing the study). What matters is rejecting the model of arriving, extracting and vanishing.
Reciprocity formCostFrequency
Return findings accessiblyLowRare
Credit contributors by nameLowRare
Train community membersMediumRarer
Pay fairly for timeMediumSometimes
Share control of the dataHighAlmost never
The two cheapest forms are the two least practised, which suggests the barrier is habit and planning rather than resources.
Put reciprocity in the budget and the timeline. An intention with no line item is what produces the pattern in the right-hand column.
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The commitments reinforce one another
Positionalitywhere I standReflexivityexamining itPower, Voice& Reciprocityacting on it
Naming your position makes reflexivity possible; reflexivity reveals the power at play; that recognition is what you act on through voice and reciprocity.
CommitmentEnables
PositionalityReflexivity — you can only examine a named position
ReflexivitySeeing the power at play
Seeing powerDeciding to act on it
The sequence explains why positionality comes first in most accounts: without naming where you stand, there is nothing for reflexivity to examine.
It also explains why voice and reciprocity are most often missing: they require acting, not noticing.
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Commitments are practice, not a checklist
These commitments are easy to recite and hard to live. A positionality paragraph bolted onto an extractive study is decoration. The commitments only mean something when they actually change what you do.
Reflexivity that does not change the research is just a more sophisticated way of doing the same thing.
— a working caution for the field
Decorative versionPractised version
A positionality paragraphA design changed because of it
A reciprocity statementA budgeted dissemination event
A voice sectionParticipants shaping the questions
An ethics approvalA decision made differently in the field
Each left-hand item is what a reviewer can verify and each right-hand item is what actually matters, which is the incentive problem underneath most of this.
The honest test on your own work: name one thing you did differently because of these commitments. If nothing comes to mind, they were recited.
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04
Section Four
Standpoint Theory
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Knowledge looks different from below
Standpoint theory
The argument that social position systematically shapes what one can know, and that the perspectives of dominated or marginalised groups can yield more complete and less distorted accounts of how a social system actually works.
A standpoint is not the same as a mere opinion or viewpoint. It is an achieved critical understanding, won through reflection on shared experience of a structure of power.
Standpoint theory saysIt does not say
Position shapes what can be knownAll views are equally valid
The margins can see more of the systemSuffering guarantees insight
A standpoint is achieved through analysisIdentity confers it automatically
Start inquiry from marginal livesOnly the marginal may research
Each right-hand column is a common misreading, and the third is the one that most often derails a discussion of the theory.
Marx’s account of the proletarian standpoint is the direct ancestor of the argument, which is worth knowing when it is described as identity politics.
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The double vision of the dominated
To survive, those without power must understand both their own world and the world of the powerful. The powerful can afford to understand only their own. This asymmetry gives the margins a wider, more critical field of view.
A domestic worker knows the household from the kitchen and from the drawing room. The employer rarely knows the kitchen at all. Whose account of that household is more complete?
Who must understand both worldsWho need not
A domestic worker in an employer’s homeThe employer
A Dalit student in an elite institutionTheir classmates
A woman navigating a male workplaceHer male colleagues
A migrant in a new cityLong-term residents
The asymmetry is structural: survival in a system you do not control requires knowing how it works, and holding power does not.
This is why the claim is about position rather than virtue. The double vision comes from the requirement to navigate, not from any quality of the person.
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Sandra Harding and 'strong objectivity'
Sandra Harding turned the usual charge on its head. Mainstream 'objectivity', she argued, is too weak: it scrutinises the data but never the social values and assumptions built into the questions themselves.
Strong objectivity
Harding's idea that genuine objectivity requires examining the researcher's own social location and starting assumptions as rigorously as the evidence — and that starting from marginalised lives produces stronger, not weaker, knowledge.
Weak objectivityStrong objectivity
ScrutinisesData and analysisAlso the question and its assumptions
The knowerInvisible, assumed neutralPart of what is examined
Achieved byDetachmentLocating the standpoint
Failure modeBias in the premisesMistaken for relativism
Harding’s argument inverts the usual objection: the demand to examine assumptions is a demand for more rigour, not for less.
It is also practical. Most serious errors in development research are in the premises — the category, the frame, the population — rather than in the analysis.
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Two senses of being objective
Weak objectivityStrong objectivity (Harding)
ScrutinisesThe data and analysisThe data AND the assumptions behind the question
The knowerTreated as neutral, invisibleExamined as part of the inquiry
Starting pointDominant frameworksThe lives of the marginalised
ClaimView from nowhereHonest about the view from somewhere
The provocation: examining your own position is not a retreat from objectivity. It is what real objectivity demands.
Strong objectivity requiresWhich is why it is harder
Examining the question, not just the dataThe question came from somewhere
Locating the knowerYou must describe yourself
Starting from marginal livesIt changes the design
Owning the limitsThey must be stated
The label is deliberate. Harding is claiming more rigour than mainstream practice, not less, and framing it that way changes how the argument lands with sceptics.
For a practitioner it means one added section: what assumptions are built into this question, and who would have asked it differently?
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Starting from the everyday
Sociologist Dorothy Smith argued that mainstream sociology spoke from the standpoint of the institutions that govern people — what she called the 'relations of ruling' — and rendered women's everyday lives invisible. She proposed beginning instead from people's actual, lived, daily experience.
Institutional ethnography
Dorothy Smith's method: start from the everyday experience of real people and trace outward to show how distant institutional and textual relations organise and shape that experience — making 'the ruling relations' visible from below.
Smith’s critiqueWhat she proposed
Sociology spoke from the institutionsStart from the everyday
"Relations of ruling" set the categoriesExamine how they organise life
Women’s daily lives were invisibleBegin there
Institutional ethnography, which came out of this, traces how texts and procedures coordinate what people actually do — a method well suited to studying bureaucratic development programmes.
The practical version: begin from what a person’s day is actually like, then trace outward to the rules that shaped it, rather than beginning from the programme.
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Patricia Hill Collins and the matrix of domination
Matrix of domination
Patricia Hill Collins's concept that race, class, gender and other systems of oppression are interlocking and mutually constituting — experienced together, through one another, rather than as separable, additive disadvantages.
Collins also centred the idea of Black women as agents of knowledge, insisting that those at the intersection of oppressions produce theory, not merely data for others to theorise about.
Matrix of dominationMeans
Systems interlockNot separate and additive
Experienced through one anotherGender is raced and classed
Operates across four domainsStructural, disciplinary, hegemonic, interpersonal
Everyone occupies a positionNot a list of victim groups
Hill Collins developed this in Black Feminist Thought, and its analytical payoff is the domains: it tells you where an injustice lives and therefore what would change it.
In South Asian research the equivalent work is on caste and gender as mutually constituting, and it should be cited from that literature rather than mapped from race.
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The vantage point of the 'outsider within'
Hill Collins named the position of people who are inside an institution yet never fully of it — the domestic worker in the family, the first-generation scholar in the academy. This 'outsider within' location offers a distinctive, critically clear angle of vision.
Many development researchers from marginalised backgrounds occupy exactly this position — close enough to see the institution's inner workings, distant enough not to take them for granted.
Outsider-within positionWhat it can see
Domestic worker in the householdThe family as employer
First-generation scholarThe academy’s unstated rules
Frontline worker in a bureaucracyHow policy actually arrives
Junior woman in a committeeHow decisions are really made
The position is analytically valuable and personally costly, and research that recruits it should say so rather than treating it as a free resource.
In development organisations the fourth row is close to hand. The people who see the institution most clearly are usually the ones with least authority in it.
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Standpoint theory's own hard questions
  • Which standpoint? There is no single 'woman's' or 'poor person's' view
  • Does it romanticise the margins, as if suffering guaranteed insight?
  • Can outsiders ever access it — or must you live it to know it?
  • Risk of essentialism: treating a group as having one fixed perspective
Standpoint theorists take these seriously. Most now speak of multiple, intersecting standpoints — which leads straight to situated knowledges and intersectionality.
Hard questionThe honest answer
Which standpoint?There is no single one; specify
Does it romanticise the margins?It can; guard against it
Can outsiders access it?Partially, through sustained engagement
Is it just identity?No — it is achieved, not given
Taking these seriously is not a retreat from the theory; the strongest work in the tradition treats them as open questions rather than as attacks.
The first is the practical one for a researcher: saying "from the standpoint of Dalit women agricultural labourers in this district" is specific and defensible in a way "from the margins" is not.
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05
Section Five
Situated Knowledges
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Donna Haraway, 'Situated Knowledges', 1988
In a landmark 1988 essay, Donna Haraway offered feminism a way between two traps: the false certainty of 'objective' science and the paralysis of 'it's all just perspective'. Her answer was situated knowledge.
Situated knowledges
Haraway's idea that all knowledge is produced from a specific, embodied location — and that acknowledging this partiality is the precondition for objectivity, not its enemy.
TrapHaraway’s answer
Objective science from nowhereAll vision is from somewhere
Pure relativismLocated views can be held accountable
The 1988 essay is short, difficult and worth reading in the original. Its argument is that accountability, not detachment, is what objectivity actually requires.
The practical translation is simple: say where the knowledge was made, and the claim becomes checkable in a way a view from nowhere never is.
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The 'view from nowhere' is a trick
The god trick
Haraway's name for the illusion of seeing everything from no particular place — the disembodied, all-seeing gaze that science claims when it presents its knowledge as a view from nowhere and everywhere at once.
The god trick is seductive because it hides the knower. But there is no view from nowhere — only views that pretend to be from nowhere, and so escape accountability.
The god trick appears asIn development research
No author in the textThe passive voice throughout
No method section on positionWho collected this, and how?
Universal claims from one contextA finding travelling without its setting
A model presented as the worldProjections with no stated assumptions
The device is stylistic as well as epistemological: writing that removes the author from the text presents a situated claim as if it had no origin.
This is why "the data show" is worth watching. The data were produced by someone, somewhere, using a category they chose.
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Objectivity through partiality, not above it
Haraway's twist: only partial perspective promises objective vision. Because a situated view is locatable, it can be held accountable — we can ask where it was made and what it could and could not see. The god trick's view, being nowhere, can be questioned nowhere.
The only way to find a larger vision is to be somewhere in particular.
— Donna Haraway, Situated Knowledges (1988)
Because a view is locatedYou can ask
Where was it made?Setting, instrument, language
By whom?Position and access
What could it not see?The boundary of the vantage
Who could check it?Accountability
Partiality is what makes accountability possible: a claim from nowhere cannot be interrogated because there is nowhere to look.
That is the inversion worth carrying: acknowledging limits strengthens a claim rather than weakening it, because it tells a reader how far to trust it.
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Between false neutrality and pure relativism
The god trickone view claims to be ALL viewsPure relativismall views equally (un)trueSituated knowledgepartial, located,and accountable
Both failures escape accountability the same way: relativism and totalisation are mirror images, each refusing to say from where a claim is made. Situated knowledge refuses both.
FailureHow it escapes accountability
The god trickNo location to interrogate
Pure relativismNo grounds to prefer any view
Situated knowledgeIt does not — that is the point
Both failures produce the same practical result: a claim that cannot be checked, either because it comes from nowhere or because checking is meaningless.
Situated knowledge is the middle position precisely because it accepts accountability as the price of making a claim at all.
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Vision comes from a body, in a place
Haraway insists knowledge is embodied: it comes from particular eyes, instruments, languages and histories. Even a satellite image is a situated way of seeing — built by someone, for some purpose, rendering some things visible and others not.
There is no neutral instrument. A survey form, a poverty line, a remote-sensing model — each embodies a particular way of carving up the world.
Even this is situatedBecause
A satellite imageSomeone chose the sensor and the purpose
A national surveySomeone chose the frame and the questions
An administrative recordIt records an institutional encounter
A model outputAssumptions were selected
Embodiment in Haraway’s sense includes instruments. A camera, a survey instrument and a model are all particular ways of seeing that render some things visible and others not.
Asking what an instrument cannot see is a standard analytical move and is usually more productive than asking whether its numbers are accurate.
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What situatedness asks of you
  • State from where your knowledge was produced — setting, tools, position
  • Name what your vantage point lets you see — and what it cannot
  • Treat 'the view from nowhere' in others' work as a claim to interrogate
  • Make your account locatable, so others can hold it accountable
PracticeWhat it looks like in a report
State where knowledge was producedSetting, tools, position — in the methods
Name what the vantage sawAnd what it could not
Interrogate others’ neutralityAsk the same of cited work
Make partiality explicitA limitations section with content
Most limitations sections are generic. One that names what this particular vantage point could not see is doing the work situatedness asks for.
It also protects the finding. A claim that states its boundary is harder to overextend, by you or by anyone quoting you.
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Standpoint and situatedness, side by side
Standpoint theorySituated knowledges
EmphasisThe margins see the system more fullyALL knowledge is located and partial
ObjectivityStronger from the marginsStronger when partiality is owned
Risk it guards againstDominant frameworks erase the marginalisedThe god trick AND relativism
Key figureHarding, Smith, Hill CollinsDonna Haraway
They are allies, not rivals: both reject the view from nowhere and both make the knower part of the knowledge.
StandpointSituated knowledges
EmphasisThe margins see the systemAll knowledge is located
ObjectivityStronger from the marginsStronger when partiality is owned
RiskRomanticising the marginsSliding into relativism
Practical demandStart from marginal livesState your location
They are compatible and are frequently used together: begin the inquiry from the margins, and be explicit about the location from which you are doing it.
If you can only apply one, apply the second. Stating your location is available to every study; changing whose question it is often is not.
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A tool for reading any evidence
Situated knowledge is not only for feminists studying gender. It is a lens for reading any claim: a World Bank model, a national poverty estimate, a programme evaluation. Ask of each — from where was this made, and what could it not see?
This habit alone will sharpen how you read every report that crosses your desk for the rest of your career.
Ask of any evidenceExample
From where was it made?A model built on which country’s data
With what instruments?A survey with which categories
For whose purpose?Commissioned by whom
What could it not see?The population outside the frame
These four questions are a general-purpose critical tool. They work on a World Bank projection, a national poverty line and your own evaluation equally well.
They are also usable in a meeting, without preparation, which is what makes them more valuable than a fuller framework nobody remembers.
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06
Section Six
Intersectionality in Research
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Kimberle Crenshaw coins the term, 1989
Legal scholar Kimberle Crenshaw introduced intersectionality in 1989 to describe how anti-discrimination law failed Black women: courts recognised race discrimination or sex discrimination, but not the distinct harm of facing both at once.
Intersectionality
The analysis of how multiple systems of power — gender, race, caste, class, disability, sexuality — intersect to produce distinct, compounded experiences that cannot be understood by examining each system separately.
Court recognisedIt did not recognise
Race discriminationThe combination
Sex discriminationThe combination
Either, separatelyA harm at the intersection
Crenshaw’s 1989 paper analysed real cases in which Black women lost claims because they were neither the typical woman nor the typical Black claimant the categories assumed.
The origin is legal and specific, which is worth stating: intersectionality was a diagnosis of a failure in a category system before it was a theory of identity.
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Why the metaphor is a crossroads
Crenshaw's image: a person standing where several roads of power cross can be struck by traffic from any direction — or several at once. The harm at the intersection is not the simple sum of the separate roads.
Intersectionality is not additive. A Dalit woman's experience is not 'caste disadvantage plus gender disadvantage'. It is a specific reality produced by both at once, irreducible to either.
Additive readingIntersectional reading
Gender effect plus caste effectA distinct position
Control for casteCross by caste
Two coefficientsFour cells
A gap explainedA structure described
The methodological translation is concrete: controlling for a variable removes it from view, and crossing by it shows where the burden falls.
Interaction terms are the regression equivalent and are underused, largely because they demand a sample big enough to estimate them.
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The difference in how you analyse
Additive (limited)gender disadvantage+caste disadvantageIntersectionala distinctreality
Stacking two variables in a regression treats oppression as additive. Intersectionality asks you to study the overlap itself.
Analytical moveWhat it does
Add caste as a controlRemoves it from view
Cross gender by casteShows where the burden sits
Interaction termTests whether the effect differs
Separate models by groupAllows everything to differ
The first is the default in most quantitative work and is the one that makes an intersectional pattern invisible while appearing to account for it.
Choose the move deliberately and say which you used. A reader cannot tell from a coefficient table whether caste was controlled or crossed.
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The South Asian intersection
In South Asia, the most consequential intersections braid caste, class and gender — with religion, region, language and disability layered through. A poverty figure that ignores caste will miss the structure that produces much of that poverty.
Indian feminists insisted on this early: a 'sisterhood of all women' that ignored caste reproduced upper-caste dominance inside feminism itself. We return to this in Section Ten.
AxisWhere it shows in Indian data
CasteNFHS, NSS, PLFS — collected
ClassWealth quintiles; consumption
ReligionCollected
DisabilityUnder-measured
Region and languageCollected; often unanalysed
Most of what an intersectional analysis of India needs is already in the public datasets. The gap is that it is rarely crossed and published.
Where a variable is not collected — sexuality, most obviously — no reanalysis recovers it, and saying so is itself a finding.
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Why the overall number lies
An overall rate can hide who is left furthest behind
Illustrative — pattern, not real figures
The 'overall' bar is an average of unequal lives. Intersectional disaggregation is how the gap between the first and last bars becomes visible — and actionable.
The overall figure hidesVisible only when you
Which group is furthest behindDisaggregate
How far behind they areReport the gap, not the mean
An average summarises unequal lives: a programme can improve it while the target group stagnates.
Report the bottom group alongside the mean as a standing practice. It costs one row and changes what the table says.
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It's about systems, not just labels
Intersectionality is often misread as a list of identity labels to collect. Crenshaw's point is structural: it is about interlocking systems of power — caste, patriarchy, capitalism — not just the attributes of individuals.
Do not stop at 'we sampled Dalit women'. Ask how the systems of caste and patriarchy jointly produce the outcomes you observe. Structure, not just category.
Identity readingStructural reading
A list of labels to collectInterlocking systems of power
More demographic variablesHow the systems produce the position
Representation countsWho holds the resources
Who someone isWhat is done to them, by what
The structural reading is the original one and the harder one to operationalise, because systems are not variables and do not sit in a dataset.
A workable proxy: study the mechanism — the land tenure, the labour arrangement, the credit relationship — rather than only the demographic marker attached to it.
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Intersectional research in practice
  • Disaggregate — but go beyond single axes to their intersections
  • Sample so that small, multiply-marginalised groups are actually visible
  • Let categories be defined with communities, not imposed from outside
  • Analyse the systems, not only the individuals who bear their effects
PracticeWhat it requires
Cross axes, not just disaggregateA design decision
Sample so small groups are visibleOversampling, at design
Define categories with communitiesTime, and willingness to change them
Analyse the mechanismQualitative work alongside
The second row cannot be fixed after collection. A sample that cannot support the crossing you need will not support it however the analysis is done.
Decide your intersections at design and size the sample for them. That single decision determines whether the analysis is possible at all.
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Intersectionality is not infinite slicing
Taken naively, 'intersect everything' fragments a sample into groups too small to study and dissolves any shared political claim. The aim is not endless subdivision but attention to the structurally significant intersections in your context.
Ask which intersections matter for the power structure you are studying — not how many you can technically create.
Naive slicing givesInstead
Cells too small to estimateChoose structurally significant axes
No shared political claimKeep the systemic argument
Endless categoriesJustify the ones you use
A fragmented samplePool where the mechanism is shared
Intersectionality asks for attention to the intersections that matter structurally in this context, not for the maximum number of subgroups a dataset can produce.
In South Asia caste and gender are almost always among them. Which others matter is a question about the specific setting and should be argued rather than assumed.
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07
Section Seven
Feminist Methods
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There is no single 'feminist method'
Feminist research is defined by its questions and commitments, not by a signature technique. There is no method that is feminist in itself, and none that cannot be used feministically.
What makes research feminist is less the methods it uses than the questions it asks and how it answers them.
— a widely shared view in feminist methodology
What makes research feministNot
The question it asksThe technique used
Who decided the questionWhether it is qualitative
How power is handledWhether women are the subject
What is done with the findingsThe theoretical vocabulary
Any method can be used feministically and any method can be used extractively, which is why the commitments in Section 3 do the defining work.
This also means a randomised trial can be feminist research and an interview study can fail to be. The label attaches to the practice, not the instrument.
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Why feminists often favour qualitative work
Feminist research tends toward qualitative methods — in-depth interviews, oral history, ethnography, participatory work — because they make space for voice, context and meaning that pre-coded surveys can flatten.
Methods often used
  • Semi-structured & life-history interviews
  • Oral history and testimony
  • Participatory and visual methods
What they enable
  • Categories defined by participants
  • Meaning and process, not just counts
  • Space for the unexpected to surface
Qualitative methods allowWhich pre-coded surveys cannot
People’s own categoriesOnly the ones offered
Context and mechanismOnly association
Unexpected findingsOnly anticipated ones
A relationship over timeA single encounter
The lean is a consequence of the commitments rather than a preference: if you want people to speak in their own terms, a closed instrument cannot deliver it.
The corresponding cost is scale and comparability, which is a real trade rather than an argument against either.
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Recovering what records erased
Oral history has been vital to feminist scholarship precisely because the marginalised rarely leave written archives. Listening to testimony recovers histories — of Partition, of labour, of violence — that official documents never recorded.
In South Asia, feminist oral history of Partition recovered women's experiences of abduction, recovery and survival that the nationalist record had silenced for decades.
Oral history recoversBecause
Partition testimonyOfficial records did not ask
Women’s labour historyIt was not documented as work
Experiences of violenceArchives record cases, not lives
Community memoryIt was never written down
The marginalised leave few written archives, so a method that depends on documents will systematically reproduce their absence.
Oral history has its own demands: consent for archiving, protection of identity, and honesty about memory as a source rather than a record.
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Research with, not on, communities
Participatory approaches shift the researcher from sole author toward facilitator — communities help frame questions, gather and interpret data, and decide what the findings are for. It directly enacts the commitments to voice and reciprocity.
01
Community helps frame the question
02
Co-design what counts as data
03
Gather and interpret together
04
Decide jointly what the findings serve
Participatory research shiftsFromTo
Who frames the questionThe researcherJointly
Who collectsEnumeratorsCommunity researchers
Who interpretsThe analystA shared process
Who decides the useThe institutionNegotiated
It enacts reciprocity and voice directly rather than declaring them, which is why it is the method most closely associated with these commitments.
It is also slower, harder to fund, and not automatically more accurate. Choose it because the question calls for it, not as a signal of virtue.
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Yes — feminists do statistics
Rejecting numbers would surrender a powerful tool to those who misuse it. Feminist quantitative work counts what mainstream statistics ignore — unpaid care, time use, violence — and disaggregates relentlessly to make inequality visible.
Time-use surveys that finally measure women's unpaid work, or gender-disaggregated budgets, are deeply feminist projects — and entirely quantitative.
Feminist quantitative workExample
Counts what is uncountedTime-use surveys
Disaggregates relentlesslyBy caste and gender together
Interrogates categoriesWhat counts as employment
Measures the hiddenViolence prevalence surveys
Abandoning numbers would hand the most influential form of evidence entirely to people using the categories this course is criticising.
The strongest arguments for policy change on unpaid work in India rest on a national statistical instrument, not on qualitative testimony alone.
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The politics of the questionnaire
What a survey counts shapes what the state can see. India's Time Use Survey, by measuring unpaid domestic and care work, made visible an enormous economy that labour-force statistics had erased.
Counted
Paid work, formal employment, market output
Long uncounted
Unpaid care, subsistence, domestic labour — mostly women's
Designing the instrument is the feminist act. The method is conventional; the choice of what to measure is not.
If it is countedIf it is not
It appears in policyIt is invisible to the state
It can be budgeted forIt is assumed free
Trends can be arguedClaims rest on assertion
It has a constituencyIt has none
The Time Use Survey is the clearest Indian example: measuring unpaid domestic and care work made an entire economy visible that labour statistics had erased.
This is why questionnaire design is political work. What a survey asks determines what the state can subsequently see or fund.
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No method ranks above the others
Feminist methodology resists the hierarchy that crowns randomised trials as the 'gold standard' and demotes qualitative or participatory work to mere 'colour'. The right method is the one that fits the question and respects the people in it.
Method-as-hierarchy often smuggles in a politics: the 'rigorous' methods are frequently the ones most distant from participants' own voices. Fit, not rank.
The hierarchy saysFeminist methodology says
Trials are the gold standardFor questions about average effects
Qualitative is colourIt answers different questions
Numbers are rigorousRigour is fit to purpose
One ladder of evidenceDifferent questions, different tools
The objection is not to trials but to a single ranking applied regardless of question. "Does this work on average" and "why does it fail here" are not the same question.
State the question first and choose the method against it. A hierarchy applied before the question is a hierarchy applied to the wrong thing.
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Numbers and stories, deliberately together
Much strong feminist research is mixed: statistics establish the scale of a pattern; in-depth accounts explain the mechanism and restore the human meaning the numbers strip away.
A figure tells you how many women left wage work after marriage; a life history tells you why, and what it cost. Together they make an argument neither could make alone.
Numbers giveAccounts give
ScaleMechanism
ComparisonMeaning
A patternWhy the pattern exists
A claim that generalisesA claim that explains
Sequencing matters as much as combining: collect the qualitative material before the quantitative result is known, or the accounts become illustrations of a conclusion.
Where the two disagree, that disagreement is usually the most interesting finding in the study and should be reported rather than resolved.
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08
Section Eight
Ethics & Non-Extraction
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Ethics is more than a form to sign
Institutional ethics review — consent forms, approvals — is a floor, not a ceiling. Feminist ethics asks a harder, ongoing question: is this whole relationship fair to the people who give us their time and trust?
A study can be fully 'IRB-approved' and still be extractive, careless or harmful. Compliance and ethics are not the same thing.
Compliance ethics asksFeminist ethics also asks
Did they sign?Did they understand, and could they refuse?
Was it approved?Is the relationship fair?
Was harm avoided?Did anything flow back?
Is data protected?Who owns and controls it?
The right-hand column is not covered by any review committee, which is why it depends on the researcher and on institutional culture rather than on approval.
None of it replaces the left column. Formal ethics review remains a floor and should be sought even where nobody requires it.
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Consent as relationship, not signature
  • Genuine consent is ongoing — it can be withdrawn at any time
  • It is informed only if people grasp how data will be used and shared
  • It must be free of coercion — hard when the researcher controls access to a scheme
  • A thumbprint on an unexplained form is not consent
Where the researcher is linked to a programme people need, 'no' may not feel safe to say. Real consent requires that refusal carry no cost.
Consent problemIn development fieldwork
Ongoing, not onceLong studies; repeat visits
Informed about later useRepositories and secondary analysis
Free of coercionThe researcher is linked to a scheme
ComprehendedRarely checked
The third row is the structural difficulty: where a researcher is associated with a benefit, refusal carries a perceived cost whether or not it carries a real one.
Say explicitly that participation is unconnected to any benefit — and make sure that is true before saying it.
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An ethic of care in the field
Ethic of care
An approach to research ethics grounded in attentiveness, responsibility and responsiveness to people in relationship — rather than only abstract rules and rights. It asks what those involved actually need, here and now.
Asking a woman to recount violence or loss can re-open it. An ethic of care means knowing your limits, having referral support ready, and never treating a person's pain as merely a 'rich' data point.
An ethic of care asksRather than
What does this person need now?What does the rule permit?
What am I responsible for here?What am I liable for?
How do I respond to distress?How do I complete the module?
What does the relationship owe?What did the form cover?
The tradition comes from Gilligan, Noddings and Tronto and is a genuine alternative to rules-and-rights ethics rather than a softer version of it.
Its practical form in fieldwork is small: stopping an interview when someone is distressed, and having somewhere to refer them.
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Against the extractive model
The extractive model is familiar: arrive, collect, leave, publish elsewhere — the value flows out, the community sees nothing back. Feminist ethics names this as a harm, not a neutral default.
Extractivecommunityresearcherdata, time, storiesReciprocalcommunityresearcher
Extractive modelWhat the community sees
Arrive, collect, leaveA visit
Analyse elsewhereNothing
Publish elsewhereNothing
Value flows outTheir time, spent
Named plainly, this is the default arrangement in a great deal of development research, and it is a harm rather than a neutral starting point.
The minimum correction is small: a date, a budget line, and a commitment to return the findings in a usable form.
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What reciprocity can look like
FormExampleCost to you
Share findingsReturn results in local language, accessiblyLow
RecognitionCredit local researchers and contributorsLow
CapacityTrain community members in the methodsMedium
MaterialFair compensation for time givenMedium
Co-ownershipCommunity shapes questions and outputsHigh
Reciprocity need not be grand. The minimum is this: the people you studied should be able to see, use and benefit from what you found.
Reciprocity formDo it by
Share findingsA meeting in the local language
RecognitionNaming contributors, with consent
CapacityTraining community researchers
MaterialFair payment for time
ControlA data-sharing agreement
Cost rises down the column and so does the substance. The first two are almost free and are the two most often skipped.
Budget for the first two at minimum, with a date. Reciprocity that depends on remaining goodwill after the grant ends does not happen.
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The politics of how you portray people
How you write people up is an ethical act. Will you portray them as passive victims, exotic others, or numbers — or as agents with knowledge, strategy and dignity? Representation can restore or strip away.
The 'poor rural woman' as a helpless figure to be rescued is a representation that serves the rescuer. Watch for it in your own drafts.
Portrayal asAlternative
Passive victimA person with strategy
Exotic otherA person in a specific context
A numberA named participant, with consent
A problemA person facing a structure
Representation is the least-regulated stage of research and one of the most consequential, because the write-up is what everyone else will see.
The practical test is whether the person would recognise themselves in your account and accept it. Where you can, ask.
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Anticipate harm beyond the interview
  • Could publication expose or endanger a participant in their community?
  • Could disaggregated data re-identify someone in a small village?
  • Could your questions strain relationships you will leave behind?
  • Who is accountable to participants once you have gone?
You leave the field; they do not. Harm that lands after you depart is still harm you helped cause.
Harm after the interviewGuard by
Publication exposes a participantCheck identifiability before release
Small-village re-identificationCoarsen geography and categories
Strained local relationshipsAnticipate; consult locally
No route to complainLeave a contact who will respond
The last row is rarely provided. A participant with a problem after publication usually has no way to reach anyone who can act.
Leaving a named contact and a working number is a small commitment that makes accountability real rather than declared.
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Whose data is it, and who decides?
Feminist ethics presses on ownership: who holds the data, who controls its later use, who profits from it? Communities are increasingly asserting data sovereignty — the right to govern data about themselves.
India's data-protection regime sets a legal floor for personal data. Feminist ethics asks for more: not just lawful handling, but just relationships.
Ownership questionEmerging answer
Who holds the data?Increasingly, shared
Who controls later use?A data-sharing agreement
Who profits?Named in advance
What does the law require?DPDP Act obligations
Data sovereignty claims — communities asserting the right to govern data about themselves — are growing and are the direction of travel in this area.
India’s DPDP Act sets legal duties on personal digital data that apply to researchers and NGOs, and it is a floor rather than the standard.
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09
Section Nine
Reflexivity & Relationships
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Research is a human relationship
An interview is not data extraction from a unit; it is an encounter between people, shaped by who they each are. Feminist research treats the relationship itself as part of the data, not noise to be controlled away.
Who you are changes what people tell you. That is not a flaw to eliminate — it is information to understand and report.
Treated as noiseTreated as data
Who the researcher isIt shaped what was said
Rapport or its absenceIt is a finding about position
What was not saidA signal about safety
The researcher’s discomfortInformation about the encounter
Conventional method tries to standardise the interviewer away. Feminist method records the encounter instead, because the standardisation is not achievable anyway.
A note after each interview on how the encounter went is cheap and turns out to explain a great deal at analysis.
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Being inside or outside the group
InsiderOutsider
AccessTrust, shared language, contextMay need brokers and time
Blind spotsTakes the familiar for grantedMisreads the unfamiliar
What's sharedPeople assume you already knowPeople explain from scratch
RiskOver-identificationDistance, projection
Neither is simply 'better'. Each sees and misses different things — and most researchers are partly both, on different axes, at the same time.
InsiderOutsider
AccessTrust, shared languageNeeds brokers and time
Blind spotThe familiar goes unnoticedMisreads the unfamiliar
What people say"You already know"Things are explained
RiskAssumed agreementAssumed difference
Both positions produce systematic distortions of different kinds, which is why the question is not which is better but what each is doing to your data.
The third row is the practical one: insiders are told less because explanation is assumed unnecessary, and that absence is invisible in a transcript.
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Most positions are 'in-between'
The insider/outsider line is rarely clean. A woman researcher interviewing women shares gender but may differ in caste, class, language and power. You are usually insider on some axes and outsider on others, all at once.
The honest question is not 'am I an insider?' but 'on which dimensions, and how does each shape what I am told?'
You may shareAnd differ on
GenderCaste, class, language
RegionEducation and institution
LanguageAge and authority
ProfessionEverything else
Almost every real fieldwork position is partial on both sides, and describing yourself as an insider or an outsider is usually too crude to be useful.
Name the axes that mattered for this study specifically. That is a shorter and more informative statement than a full account of your identity.
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Power flows in more than one direction
The researcher usually holds more institutional power — but not always all of it. A village elite, a male gatekeeper or a guarded respondent can control access, steer the conversation, or decide what stays unsaid.
Map the power in each encounter honestly. Sometimes you hold it; sometimes you are managed by those you came to study. Both shape the knowledge produced.
Power the participant can holdShows as
Control of accessA gatekeeper deciding who you meet
Control of the narrativeA rehearsed account
The ability to withholdSilence, or a partial answer
Local authoritySteering the conversation
Assuming the researcher always holds all the power leads to missing exactly these dynamics, which shape data as much as the more familiar asymmetry.
The elite interview inverts the usual relation entirely, and requires different preparation: specific questions, documented facts, and no deference.
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Emotions in the field are data, not weakness
Mainstream method treats the researcher's feelings as contamination to be suppressed. Feminist research takes emotion seriously: discomfort, anger, grief and rapport are signals about the relationship and the power within it.
Your unease in an interview may be telling you something true about the power at play. Note it; do not just edit it out.
Emotion in the fieldWhat it may signal
DiscomfortA boundary being crossed
AngerAn injustice you have just understood
GriefThe weight of what you are hearing
Easy rapportShared position — and shared blind spots
The last row is the least obvious. Comfortable interviews are often with people like you, and the ease is itself a finding about who you can reach.
Record emotional responses in the journal rather than suppressing them. They are frequently the first sign of something the analysis later confirms.
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Reflexivity as a daily practice
01
BEFORE: name your position and assumptions
02
DURING: keep a reflexive field journal
03
ANALYSIS: ask how your lens shaped the reading
04
WRITING: report your influence, do not hide it
A reflexive journal — recording your reactions, surprises and unease alongside the field notes — is the single most practical reflexivity habit you can build.
StageReflexive practice
BeforeWrite your position and assumptions
DuringA journal entry each day
AnalysisAsk how your lens shaped the reading
WritingReport the influence, do not hide it
The journal is the part that makes the rest possible. Reconstructing your assumptions at the writing stage produces a plausible account rather than an accurate one.
Ten minutes a day is enough. What surprised you, what you assumed, what you did not ask and why.
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What belongs in the write-up
  • Who you are, on the axes that mattered to this study
  • How you gained access, and through whom
  • How your presence likely shaped what was said
  • What your position let you see — and what it likely obscured
Done badly, this becomes self-indulgent navel-gazing. Done well, it is analysis: it shows the reader how to weigh your findings.
IncludeNot
The axes that mattered hereYour full identity
How access was gained, through whomA general statement of good intent
How your presence shaped answersA confession of bias
What your position obscuredA claim to have overcome it
A reflexive account done badly reads as self-absorption. Done well it is a methods statement: it tells the reader how to weigh the evidence.
Keep it to a paragraph or two and make every sentence do analytical work. If a line does not help a reader interpret the findings, cut it.
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10
Section Ten
Decolonial & Southern Feminisms
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Whose feminism? Whose 'Third World woman'?
By the 1980s, feminists from the global South challenged a Western feminism that claimed to speak for all women — while universalising a white, middle-class, Western experience and casting other women as backward objects of rescue.
The challenge came from within feminism, not against it: a demand that feminist research examine its own power and partiality, exactly as it asked of science.
Universalising moveWhat it produced
One "women’s experience"A white, middle-class default
Southern women as victimsA rescue frame
Tradition as the explanationStructure and history ignored
Western feminism as the modelLocal movements erased
The critique came from feminists in and of the global South and was directed at feminism itself, which is what makes it a standpoint argument applied reflexively.
It is also not a rejection of feminism. It is an insistence that the analysis of power be applied to the movement making it.
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Chandra Mohanty, 'Under Western Eyes', 1984
In her influential 1984 essay, Chandra Talpade Mohanty argued that much Western feminist scholarship constructed a single, monolithic 'Third World woman' — poor, powerless, tradition-bound, victimised — defined only by lack, against an implicit Western norm of the free, modern woman.
The 'Third World woman' (as critique)
Mohanty's term for a flattened, homogenising image produced by some Western feminist writing — erasing the diversity, agency and specific histories of actual women across the global South.
Mohanty’s targetThe construction
A monolithic "Third World woman"Poor, powerless, tradition-bound
Defined by lackAgainst an implicit Western norm
Without history or agencyA category, not people
Object of scholarshipNever its author
The 1984 essay is a close reading of scholarship rather than a polemic, and its method — examining how categories are built in the text — is itself instructive.
Its lesson for development research is direct: the "beneficiary" of many programme documents is constructed the same way, by lack, against an unstated norm.
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What Mohanty asks of research
  • Do not treat 'women' as one undifferentiated, ready-made group
  • Study women as agents embedded in specific histories and structures
  • Watch how your categories may impose a Western norm as universal
  • Refuse the rescue narrative; attend to context, struggle and capacity
Mohanty's essay is a methodological warning as much as a political one: homogenising your subjects is also a research error.
Mohanty asks you toInstead of
Study women in specific historiesTreating "women" as one group
Show agency within structurePortraying pure victimhood
Watch imported categoriesAssuming they travel
Refuse the rescue framePositioning yourself as the solution
The third row is the practical one for anyone using an international framework locally: check whether the category exists here before measuring it.
Household headship, formal employment and even "the family" are categories that do not map cleanly onto South Asian arrangements.
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A rich, distinct tradition
South Asian feminist scholarship developed its own questions: the household as a site of inequality, women's invisible labour, the politics of personal law, the gendered violence of Partition, and the inseparability of patriarchy from caste.
Landmark collaborative work documented women's own accounts of Partition and the women's movement — insisting that Indian women's histories be written from Indian women's voices.
Indian feminist questionWhy it did not come from elsewhere
The household as a site of inequalityIntra-household allocation is central here
Women’s invisible labourThe formal-informal divide differs
Personal law and religionA distinct legal architecture
Partition and gendered violenceA specific history
Caste and patriarchy togetherNo Western equivalent
These are theoretical contributions, not local case studies, and citing them as theory is part of the decolonising practice described two slides on.
The household literature in particular has been influential internationally, which makes the habit of citing it only as context harder to justify.
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Caste and the limits of 'global sisterhood'
Dalit feminists pressed a hard internal critique: mainstream Indian feminism, led largely by upper-caste women, often universalised its experience — reproducing inside feminism the very dominance feminism opposed.
A 'sisterhood of all women' that ignores caste is not neutral — it quietly centres the upper-caste woman. The same move Mohanty named globally operates within the nation too.
Dalit feminist critiqueDirected at
Universalising upper-caste experienceMainstream Indian feminism
Caste treated as separate from genderBoth movements
Leadership and voiceWho speaks for whom
Which violence gets attentionWhose harm is visible
This is the same structural argument the previous slides made about Western feminism, applied one level in, which is what makes the pattern worth naming as a pattern.
Read Dalit feminist scholarship directly rather than through summaries. It is a substantial body of work with its own theoretical positions.
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The same structure, at every scale
Western feminism speaks for → the global SouthElite Indian feminism speaks for → all Indian womenUpper-caste women speak for → Dalit women
The lesson nests at every scale: whoever holds power within a movement can universalise their own partial view. Always ask who is speaking for whom.
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Decolonising research practice
  • Take Southern theorists as theorists, not just sources of raw data
  • Cite and build on regional scholarship, not only Western canon
  • Question imported categories — do they fit this context?
  • Shift authority over the research toward the communities studied
Decolonising is not rejecting all Western theory; it is refusing to treat it as the only theory, and the South as mere fieldwork.
Decolonising practiceConcretely
Cite Southern theorists as theoryNot as data or context
Build on regional scholarshipRead it first
Question imported categoriesTest them against the setting
Shift authority over interpretationShare the analysis stage
Publish where it is usableLocal language, open access
The first row is a citation practice and is measurable: look at your own bibliography and count where the theory comes from.
The last is the most neglected. Research about a place published behind a paywall in a language spoken by few of its residents is extraction with a publication record.
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Why this is the heart of the course
Notice the full circle. Decolonial and Dalit feminisms apply standpoint theory and situated knowledge to feminism itself — insisting that the most marginalised see what the relatively powerful, even within feminism, cannot.
There is no view from nowhere — not even a feminist one.
— the recurring lesson of this course
The move applied toBy
ScienceFeminist critique
Western feminismSouthern feminists
Indian feminismDalit feminists
Your own studyYou, if you are serious
The recursion is the point: standpoint theory applied to feminism itself is what produced these critiques, and applying it to your own work is the same operation.
The last row is the test. Whose account does your study take as the general case, and who is thereby positioned as the exception?
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11
Section Eleven
Doing It & Further Reading
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Turning commitments into choices
Feminist research is not a doctrine to admire but a practice to do. Every stage — question, design, fieldwork, analysis, writing — offers a choice between reproducing power and answering back to it.
01
QUESTION: whose problem, framed how?
02
DESIGN: who is counted, who defines the categories?
03
FIELD: what relationship, what care?
04
WRITE: whose voice, what representation?
StageThe choice you face
QuestionWhose question is this?
DesignWhich categories, defined by whom?
FieldworkWho speaks, and in what conditions?
AnalysisCrossing axes, or controlling them away?
WritingWhose voice carries the text?
At each stage the default option reproduces existing power, which is why the commitments have to be applied deliberately rather than expected to arise.
Pick the two stages where you have most discretion and work on those. For most practitioners that is design and writing.
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Before you start: ask yourself
  • Whose question is this — and who decided it was worth asking?
  • Where do I stand in relation to the people I will study?
  • Which intersections of power matter most in this context?
  • Who is likely to be missing from my frame, and why?
  • What will the people I study get back from this?
Before you startA failing answer
Whose question is this?"The funder’s terms of reference"
Where do I stand?Never considered
Which intersections matter here?"We will disaggregate by sex"
Who will be missing?"The sample is representative"
The first answer is honest and is not a stopping point: naming the funder’s question lets you decide what to add to it rather than pretending it is yours.
Write the answers down before the design is fixed. Answered afterwards, they become a justification rather than a design input.
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During and after: keep asking
  • Are my categories letting people speak, or flattening them?
  • How is my presence shaping what I am being told?
  • Am I disaggregating enough to see who is left behind?
  • Could this analysis or write-up harm or expose anyone?
  • Does my account say from where it was made?
Print these ten questions. Revisit them at design, midline and write-up. They are the course, made portable.
During and afterWatch for
Are categories flattening people?Responses that do not fit
How is my presence shaping this?Rehearsed or deferential answers
Am I disaggregating enough?An average that hides the tail
Could this write-up harm anyone?Identifiability; stigma
The first row has a concrete signal: when respondents keep qualifying an answer to fit your options, the option set is wrong rather than the respondents.
Record the responses that did not fit. They are usually the most informative material in the dataset and the first thing a coding frame discards.
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Data Feminism: seven principles
Catherine D'Ignazio and Lauren Klein's Data Feminism (2020) brings these ideas to data science. A condensed sense of their principles:
PrincipleIn short
Examine & challenge powerAsk how data entrenches inequality
Elevate emotion & embodimentValue lived, felt experience as knowledge
Rethink binaries & hierarchiesQuestion the categories data imposes
Embrace pluralismCentre multiple, situated perspectives
Consider contextNo data speaks neutrally, stripped of its origins
Make labour visibleName whose work produced the data
Data Feminism principleQuestion for your work
Examine and challenge powerWho made this data, for whom?
Rethink binariesWhose reality has no category?
Elevate emotion and embodimentAre the people still visible?
Consider contextWhat does this number not say?
Make labour visibleWho did the work of collecting it?
D’Ignazio and Klein’s book (2020) applies this whole tradition to data science and is freely available to read online.
It is the most directly usable bridge between the theory in this course and everyday work with datasets and dashboards.
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Foundational texts
  • Sandra Harding — Whose Science? Whose Knowledge? (standpoint, strong objectivity)
  • Donna Haraway — Situated Knowledges (1988 essay; the god trick)
  • Patricia Hill Collins — Black Feminist Thought (matrix of domination)
  • Kimberle Crenshaw — the 1989 essay coining intersectionality
  • Dorothy Smith — The Everyday World as Problematic (institutional ethnography)
TextRead it for
Harding, Whose Science? Whose Knowledge?Standpoint and strong objectivity
Haraway, "Situated Knowledges" (1988)The god trick; partial perspective
Hill Collins, Black Feminist ThoughtThe matrix of domination
Crenshaw (1989)Intersectionality at source
All four are primary sources and all four are more readable than their reputation suggests. Haraway is the hardest and the shortest.
Read one primary text rather than three summaries. The summaries in circulation reliably flatten the arguments in the same directions.
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Southern, decolonial & practical
  • Chandra Talpade Mohanty — Under Western Eyes (1984) and after
  • Indian feminist scholarship on women's work, caste and the household
  • Dalit feminist writing on the limits of 'global sisterhood'
  • D'Ignazio & Klein — Data Feminism (2020)
  • Feminist oral histories of Partition and the women's movement
Pair this deck with ImpactMojo's Research Ethics, Qualitative Methods and Data Literacy 101 courses.
Then readFor
Mohanty, "Under Western Eyes" (1984)The Southern critique
Indian feminist scholarship on work and casteThe regional tradition as theory
Dalit feminist writingThe critique from within
D’Ignazio and Klein (2020)The bridge to data practice
Reading the second and third rows is the practical form of the decolonising commitment: the sources exist and are cited far less than the first list.
If your bibliography on a South Asian study contains no South Asian theory, that is a finding about the study rather than about the literature.
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What to carry, and what to drop
Drop the idea that…Carry the idea that…
It's just 'research about women'It's a stance on power in all knowledge
It means avoiding numbersIt counts what others ignore
Reflexivity is a confessionReflexivity is analysis
Intersectionality is adding labelsIt is studying interlocking systems
Objectivity is the enemyOwning your position makes you more objective
DropCarry
It is research about womenIt is a stance on power in all knowledge
It means avoiding numbersIt counts what others ignore
Reflexivity is a confessionReflexivity is a methods statement
Intersectionality is a variable listIt is about interlocking systems
It is a Western importSouth Asian scholarship built it too
Each left-hand item is a misreading you will meet in a review meeting, and each has a one-sentence answer worth having ready.
The last is the one that most often ends a discussion, and it is answerable on the record: the regional tradition is substantial and independent.
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If you remember five things
  • Knowledge is produced, not found — examine the making
  • There is no view from nowhere — name where yours is from
  • Power runs through method — not just through the topic
  • Study intersecting systems — caste, class and gender together
  • Research is a relationship — make it reciprocal, not extractive
TakeawayThe question it becomes
Knowledge is producedWho made this, and how?
No view from nowhereWhere is mine from?
Power runs through methodWhose question is this?
Study intersecting systemsCrossed, or controlled away?
Answer back to powerWho benefits from this finding?
Five questions, askable of any study including your own, and none of them requires agreement with any particular theoretical position.
If you carry one, carry the second. Naming where your knowledge was made is available in every study and makes everything else checkable.
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Feminist Research 101 · Complete
Now ask: true for
whom, told by whom?
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