Stochastic Gender-Based Violence: How Incels Justify and Encourage Sexualized Violence Against Women
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
This study examines how involuntarily celibate ("incels") men justify gender-based and sexualized violence against women. Based on an analysis of 22,060 discussion board comments, we argue that: (1) incel justifications of sexualized violence are tied to their perception of gender relations, (2) incels justify sexual assault as a form of revenge for their incel status, and (3) incels misuse science to argue that women enjoy sexual assault. Adapting the concept of "stochastic terrorism," we argue that incels and similar communities produce stochastic gender-based violence, wherein communities justify and encourage acts of violence. Findings are discussed in relation to gender-based violence, rape culture, masculinities theory, and policy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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