Assessing Violence Risk Among Female IPV Perpetrators: An Examination of the B-SAFER
Bibliographic record
Abstract
Intimate partner violence (IPV) is a global problem and one in which frontline assessment and management falls primarily to police. Although IPV is often conceptualized as a male-perpetrated crime, evidence substantiates female IPV perpetration and increased arrest rates, raising important issues for police. This article examines police use of the Brief Spousal Assault Form for the Evaluation of Risk (B-SAFER; Kropp, Hart, & Belfrage, 2005, 2010), a violence risk assessment tool for IPV. The B-SAFER was used to assess and manage 52 women arrested for IPV. When compared to Belfrage and Strand (2008), who examined men arrested for IPV in the same sample, women possessed fewer risk factors. Risk factors were related to summary risk judgments, although differences existed between genders and risk judgments were not related to management recommendations. Results suggest that risk factors, in addition to those in the B-SAFER, are required to assess risk for female IPV.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".