Subtypes of partner violence perpetrators among male and female psychiatric patients.
Bibliographic record
Abstract
The goal of this naturalistic study was to examine heterogeneity among female and male civil psychiatric patients with a history of intimate partner violence (IPV) perpetration. Participants were 567 patients drawn from the MacArthur Violence Risk Assessment Study (J. Monahan et al., 2001). The authors examined subtype composition among 138 women and 93 men with positive histories of IPV and compared these groups with 111 women and 225 men with no histories of IPV. Findings for men and women were consistent with reports from studies of male perpetrators in forensic and community settings in that generally violent/antisocial, borderline/dysphoric, and family only/low-psychopathology subtypes of perpetrators were identified in both men and women. This study provides preliminary evidence for the generalizability of typologies derived from nonpsychiatric partner violence perpetrators to psychiatric populations and suggests that typologies derived from studies of male IPV perpetrators may provide useful guidance for the investigation of female IPV perpetration.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".