Criminogenic and Noncriminogenic Needs in Men and Women Who Self-Report Intimate Partner Violence
Bibliographic record
Abstract
Little is known regarding the criminogenic needs of men and women who self-report intimate partner violence (IPV). We examined criminogenic and noncriminogenic needs of men and women within the general population who self-reported in three groups: perpetrating physical IPV, perpetrating non-IPV physical violence, and nonviolence perpetration. The sample included 847 men and 1437 women from the Interpersonal Conflict and Resolution (iCOR) Study. Those who self-reported IPV exhibited criminogenic and noncriminogenic needs, ranging from antisocial personality patterns (10%) to criminal associates (69%). Participants who self-reported engaging in IPV had the most criminogenic and noncriminogenic needs, had similar needs to those reporting non-IPV violence, and had consistently more needs than the nonviolence group. Overall, women reported more noncriminogenic needs than men. Community-based IPV treatment programs accepting individuals from multiple referral sources should anticipate variation in criminogenic and noncriminogenic needs among participants, especially relative to gender and referral type.
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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 | 0.004 |
| 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 | 0.000 | 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".