An Economic Analysis of Crime Costs Associated with Psychopathic Personality Disorder and Violence Risk
Bibliographic record
Abstract
Given substantial national crime costs and that psychopathic personality disorder (PPD) is a robust predictor of recidivism, a research gap exists concerning the cost of crime attributable to adults with PPD. The current study employed a bottom-up cost of illness approach to estimate the association between PPD and crime costs among Canadian men incarcerated in the federal correctional system ( n = 188). Participants were rated using the Psychopathy Checklist–Revised (PCL-R) and the Historical-Clinical-Risk Management–20 (HCR-20, version 2). Group mean crime costs were highest for participants who scored highly on the PCL-R and were rated high risk on the HCR-20, and higher scores on both measures were associated with prospective costs accrued from violent and nonviolent recidivism. The findings highlight the need to improve the treatment and management of high-risk individuals with prominent psychopathic features, as it has the potential for significant financial savings for criminal justice systems.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 teacher head, 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".