The Gendered Racialization of Asian Women as Villainous Temptresses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
What explains white male animus against Asian women? We address this question by examining the murders in Atlanta, GA, which reflect a larger global pattern of violence against what are perceived as hypersexualized Asian women. Dominant discourses on these murders promote either a narrative of racial xenophobia or a stance for or against sex work. Neither discourse adequately accounts for the simultaneous racial and gendered determination of Asian women’s experiences. In this commentary, we provide a racial–gender analysis and underscore how the gendered racialization of Asian women as hypersexual can result in their perception as disposable bodies for white male rage. As we explain, hypersexualization implies immorality, which in turn threatens the social order and thereby justifies Asian women’s disposability. This commentary establishes Asian women’s hypersexualization as a century-old view in American society perpetuated in cinema and the law.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it