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Record W4404608096 · doi:10.1093/ccc/tcae035

From Atalanta to Angelina: Smith & Wesson feminism, white heteropatriarchy, and intimate partner violence

2024· article· en· W4404608096 on OpenAlexaffabout
Kim Hong Nguyen, Gerald Voorhees

Bibliographic record

VenueCommunication Culture and Critique · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFeminismWhite (mutation)CriminologyDomestic violenceSociologyArtGender studiesPoison controlSuicide preventionMedicineBiology

Abstract

fetched live from OpenAlex

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.438

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 studies0.0000.000
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 head0.034
GPT teacher head0.371
Teacher spread0.337 · 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 designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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