Bibliographic record
Abstract
Postcolonial and transnational feminists’ calls to recognize “other” women’s agency have seemed to some Western feminists to entail moral quietism about women’s oppression. Here, I offer an antirelativist framing of the transnational feminist critiques, one rooted in a conception of transnational feminisms as a nonideal theoretical enterprise. The Western feminist problem is not simple ethnocentrism, but rather a failure to ask the right types of normative questions, questions relevant to the nonideal context in which transnational feminist praxis occurs. Instead of asking which forms of power are gender-justice-enhancing, Western feminists are fixated on contrasting “other” cultures to an idealized Western culture. A focus on ideal theorizing works together with colonial epistemic practices to divert Western feminist attention from key questions about what will reduce “other” women’s oppression under conditions of gender injustice and ongoing imperialism. Western feminists need to ask whether “other” women’s power is resistant, and answering this question requires a focus on what Amartya Sen would call “justice enhancement” rather than an ideal of the gender-just culture. I show how a focus on resistance, accompanied by a colonialism-visibilizing hypothesis and a normative vision that allows multiple strategies for transitioning out of injustice, can guide Western feminists toward more appropriate questions about “other” women’s power.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.049 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".