The Intersection of Juvenile Psychopathy, Protective Factors, Treatment Change, and Diversity in Justice-Involved Youth
Bibliographic record
Abstract
We examined the intersection of juvenile psychopathy with protective factors, dynamic violence risk, and recidivism in a court adjudicated Canadian sample of 257 male and female, ethnoracially diverse youth. The Psychopathy Checklist: Youth Version (PCL:YV) and measures of dynamic violence risk (Violence Risk Scale–Youth Version; VRS-YV) and protective factors (Structured Assessment of Protective Factors–Youth Version; SAPROF-YV) were rated from court and treatment files. Recidivism information was obtained from official criminal records. PCL:YV scores were associated with fewer protective factors and predicted recidivism across gender and ethnoracial (Indigenous vs non-Indigenous) groups; however, PCL:YV scores did not incrementally predict future crime and violence when controlling for violence risk and/or protective factors scores, while both of the latter measures did. Juvenile psychopathy is a clinically relevant construct for justice-involved youth but it does not equate to a lack of protective factors or inability to make treatment-related changes in risk.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".