The Impact of Known Criminals on the Proportion and Seriousness of Intimate Partner Violence Incidents
Why this work is in the frame
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Bibliographic record
Abstract
This study examines a hypothesis that has not received adequate scrutiny: that an important proportion of intimate partner violence (IPV) incidents, particularly those that are more serious, involve generalist offenders known to the police. Many criminological theories and empirical studies suggest that offenders are often generalists, yet few IPV studies consider this hypothesis. Based on a sample of 52,149 IPV incidents recorded by police, we found that 31% of IPV incidents involved suspects only with criminal records for non-IPV criminality, 9% involved victims only with criminal records for non-IPV criminality, and 14% involved both suspects and victims with criminal records for non-IPV criminality. Thus, 45% of IPV offenders and 23% of IPV victims had criminal records for non-IPV criminality. Multilevel regression analyses reveal that controlling for prior IPV incidents, community context, and other individual and couple variables, IPV offenders with criminal records are 16% more likely to be involved in more serious incidents, and victims of IPV with criminal records are 17% more likely to be involved in more serious incidents. In addition, IPV incidents for which both suspects and victims had criminal records were 46% more likely to be more serious incidents. These results suggest that generalist criminals known by police have an important impact on the proportion of IPV incidents, particularly the more serious ones.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it