Psychopathy and offence severity in sexually aggressive and violent youth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: A large proportion of violent crimes are committed by youths. Youths with psychopathic traits may have a higher risk for recidivism and violence. AIMS/HYPOTHESES: Our aim was to compare sexually aggressive with violent young men on offence severity and psychopathy. Three hypotheses were proposed: first, young men with previous offences would display a progressive increase in seriousness of offence during their criminal career; secondly, the sexually aggressive and violent young men would not differ in scores on the Hare Psychopathy Checklist: Youth Version (PCL:YV); but, thirdly, PCL:YV scores would be positively correlated with the severity of the index crime, as measured by the Cormier-Lang System for Quantifying Criminal History. METHODS: Information was collected from the files of 40 young men in conflict with the law, and the PCL:Youth Version (YV) rated from this by trained raters. RESULTS: The offences of these young men became more serious over time, but we found no association between PCL:YV scores and offence type or seriousness. CONCLUSIONS AND IMPLICATIONS: This exploratory research suggests the importance of understanding the progression in offending careers, but a limited role for the PCL:YV in doing so. Given the small sample size, however, and the limit on access to information about details of age, the findings need replication.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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