Female Violent Offenders: Moral Panics or More Serious Offenders?
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
Nearly 40 years ago, in research conducted for the National Commission on the Causes and Prevention of Violence, Ward and his colleagues, asked ‘Are women more aggressive in committing violent crimes today than in the past?’ The reason they asked this question, and others have continued to, is the common fear that women, as the putative gatekeepers of social morality, are changing. Using data from the same prison Ward and his colleagues relied on to document the nature of women's violent offences, we examine whether and how the characteristics and crimes of incarcerated female offenders have changed. In so doing, we also seek to explain observed patterns of stability and change over the last third of the 20th century in women's crimes of violence and the moral panics that circumscribe violent criminality by women.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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