Actuarial risk assessment in sexually motivated intimate-partner violence.
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 present study is the first independent cross-validation of the Ontario Domestic Assault Risk Assessment (ODARA) and the Domestic Violence Risk Appraisal Guide (DVRAG) using an incarcerated high-risk sample (N = 66) of offenders released from the Austrian Prison System who have committed at least one sexually motivated offense against their actual or former intimate partners. The mean follow-up period was approximately 55 months. Both instruments showed evidence for their reliability and predictive accuracy, supporting the cross-cultural transferability of these risk assessment instruments. For the prediction of domestic violence recidivism, ODARA and DVRAG yield good predictive accuracy (area under the receiver operating characteristic curve, AUC = .71), and for general criminal and general violent recidivism, both instruments exhibit moderate effect sizes (AUC = .66-.71). Also, the results provide evidence for the discriminant validity of the ODARA. When examining the association between individual ODARA items and recidivism, only a few items were found to be related to domestic violence recidivism. The integration of the Psychopathy Checklist-Revised (PCL-R) does not add any incremental predictive accuracy to the ODARA, suggesting that ODARA items capture antisocial and psychopathic traits sufficiently even in incarcerated high-risk offenders.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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