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Record W2966550044 · doi:10.5206/fpq/2019.2.7299

Sisterhood and "Doing Good": Asymmetries of Western Feminist Location, Access and Orbits of Concern

2019· article· en· W2966550044 on OpenAlexvenueno aff
Uma Narayan

Bibliographic record

VenueFeminist Philosophy Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsObligationGender studiesSociologyConstruct (python library)EgalitarianismWestern europeEssentialismPolitical scienceLawEuropean unionEconomics

Abstract

fetched live from OpenAlex

There are a variety of discourses and practices that position Western feminists (and Western political subjects more generally) as people who have a moral and political obligation to concern themselves with the welfare, suffering, or empowerment of non-Western subjects, often women, and intervene to “do good” on their behalf. Conversely, there are virtually no discourses and practices that assign moral and political obligations to non-Western feminists (or non-Western political subjects more generally) to intervene in matters involving the welfare or suffering of Western subjects, including women. A central goal of my paper is to make this asymmetry explicit and distinguish it from charges such as “essentialism” more commonly made against Western feminist representations of their Others. I explore the consequences of discourses and practices that construct Western subjects as entitled to and obligated to concern themselves with the world entire, while not extending this global scope of concern to non-Western subjects. I critically examine, among other things, the roles assigned Western-funded NGOs in enabling Western subjects to engage in practices of “doing good” and I explore alternative possibilities that are more explicitly “political.” Along the way, I examine certain blind spots in Western political theory that appear connected to the picture of Western subjects as obligated to “do good” in distant places. My analysis engages substantially with Alison Jaggar’s essay, “Saving Amina,” drawing attention to matters of agreement and possible disagreement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.332
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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