Sisterhood and "Doing Good": Asymmetries of Western Feminist Location, Access and Orbits of Concern
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.048 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".