From Atalanta to Angelina: Smith & Wesson feminism, white heteropatriarchy, and intimate partner violence
Bibliographic record
Abstract
Abstract This article re-examines the increasingly ubiquitous media representations of ass-kicking heroines celebrated by academic and popular feminism in North America. We look at these violent white women as Smith & Wesson feminists, empowered by whiteness and their capacity for physical violence and death. As refigurations of the mythical Atalanta, their fighting power is understood as part of a feminine arsenal for managing romantic or sexual partners. This is a particular kind of white (post)feminism, prominent in the US and Canada, that may be empowering on some level, but only to the extent that women are enabled to enjoy the privileges of and assist in policing the boundaries of white heteropatriarchy. In addition to buttressing the alliance between whiteness and heteropatriarchy, it rationalizes intimate partner violence and other forms of violence, including state sanctioned violence, against women who fight back.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".