Transnational Feminism and Women Who Torture: Reading Abu Ghraib Prison Photography
Bibliographic record
Abstract
Sexualized torture of men of the enemy front has not gained as much critical attention as that of women. Recently the sexual abuse of the bodies of 'enemy' men at Abu Ghraib have, nonetheless, increasingly drawn attention to the gendered torture of men, though much of the theorizing about such torture remains to be done. In this paper I will draw on Abu Ghraib prison photography to read the logic of military-police torture of male bodies that have been criminalized as the enemy. Of particular interest to such an understanding will be a transnational feminist inquiry into figures of female torturers of male bodies that are differently raced/cultured/nationed. What role do the bodies of women torturers in war literature and war photography play vis-A-vis their male victims? How do we theorize a responsible transnational feminist response to women who torture? Where does transnational feminism stand with respect to enemies of the nation?
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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 | 0.002 | 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 | 0.016 | 0.033 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".