Risk Assessment Among Incarcerated Male Domestic Violence Offenders
Bibliographic record
Abstract
It is estimated that at least a third of incarcerated male offenders have committed domestic violence, but there is little research on risk assessment among such offenders. The authors tested the actuarial Ontario Domestic Assault Risk Assessment (ODARA), designed for frontline policing, with 150 incarcerated male domestic violence offenders followed for an average of 8 years (range = 0.1—10.6) and at risk for an average of 5 years (range = 0.0—10.5). The base rate of postrelease charges for domestic violence was 27%, and the mean ODARA score was 5.81 ( SD = 2.06). The ODARA predicted domestic violence recidivism (relative operating characteristic area = .64) significantly better than a general risk assessment, the Level of Service Inventory, and in follow-ups as short as 6 months. The ODARA also predicted recidivism severity and survival. Better identification of victim—offender relationships and measuring psychopathy are challenges for future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".