General Risk and Need, Gender Specificity, and the Recidivism of Female 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
The study examined the predictive performance of social cognitive variables derived from a gender-neutral theory of criminal behavior in relation to several variables suggested as relevant by feminist perspectives. Multivariate analyses revealed that eight gender-neutral risk factors—assessed via the Level of Service/Case Management Inventory (LS/CMI)—performed very well in the prediction of the general and violent recidivism of more than 400 adult female offenders. None of the gender-specific factors, including parenting responsibility and stress, victimization history, and self-harm, had incremental validity over the gender-neutral risk and need variables. However, financial problems and a measure of personal misfortune did predict reoffending among low-risk/low-need women. The findings suggest that risk factors derived from a gender-neutral social cognitive theory of crime are relevant for adult females and that perhaps gender-specific concerns may be best viewed as specific responsivity factors.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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