Appraising Risk for Intimate Partner Violence in a Police Context
Bibliographic record
Abstract
This study examines the predictive accuracy of three risk assessment approaches for intimate partner violence (IPV) among a sample of 246 male perpetrators who were charged for offenses against their intimate partners. The sample was followed up for an average of 3.3 years, and any new general, violent, and IPV charges and convictions were recorded. The Ontario Domestic Assault Risk Assessment (ODARA) and a modified 14-item version of the Spousal Assault Risk Assessment Guide (SARA) demonstrated large effects in their ability to predict any reoffending or any violent reoffending and moderate predictive accuracy for IPV offending behaviors. The regionally used approach, Family Violence Investigative Report (FVIR), showed good predictive validity for any future offending but poorly predicted any of the violent-specific recidivism outcomes. Results of the study show that the ODARA was significantly better at predicting violence risk over the FVIR, but paired comparisons did not reveal statistical differences with the SARA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".