Comparative Validity Analysis of Multiple Measures of Violence Risk in a Sample of Criminal 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
This study compared the predictive validity of multiple indices of violence risk among 188 general population criminal offenders: Historical-Clinical-Risk Management-20 (HCR-20) Violence Risk Assessment Scheme, Violence Risk Appraisal Guide (VRAG), Violent Offender Risk Assessment Scale (VORAS), Hare Psychopathy Checklist-Revised (PCL-R), and Screening Version (PCL:SV). Several indices were related to violent recidivism with large statistical effect sizes: HCR-20 (Total, Clinical and Risk Management scales, structured risk judgments), VRAG, and behavioral scales of psychopathy measures. Multivariate analyses showed that HCR-20 indices were consistently related to violence and that the VRAG entered some analyses. Findings are inconsistent with a position of strict actuarial superiority, as HCR-20 structured risk judgments—an index of structured professional or clinical judgment—were as strongly related to violence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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