Assessment and Management of Risk for Intimate Partner Violence by Police Officers Using the Brief Spousal Assault Form for the Evaluation of Risk
Bibliographic record
Abstract
The management of intimate partner violence (IPV) typically falls to police. For assistance, officers are increasingly using violence risk assessment tools like the Brief Spousal Assault Form for the Evaluation of Risk (B-SAFER). This study replicates the methodology of Belfrage et al. but examines the B-SAFER as used by Swedish police officers when assessing and managing IPV. Results revealed a positive relationship between risk and management. Total scores and overall risk ratings predicted recidivism (AUC [Area under the curve] = .70 and .69, respectively). Finally, a pattern where management recommendations were associated with decreased recidivism in high risk perpetrators but increased recidivism in low risk perpetrators was found. Results validate the use of the B-SAFER by police and reveal mostly comparable findings between the B-SAFER and the Spousal Assault Risk Assessment Guide, as examined by Belfrage et al., but suggest that the B-SAFER may be better suited for police.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".