Clozapine's Effect on Recidivism Among Offenders with Mental Disorders.
Bibliographic record
Abstract
Mental disorder is associated with criminal reoffending, especially violent acts of offending. Features of mental disorder, psychosocial stresses, substance use disorder, and personality disorder combine to increase the risk of criminal recidivism. Clozapine, an atypical antipsychotic, is indicated in the treatment of patients with psychotic disorders. This article is the report of a community follow-up study of a matched control of those treated with clozapine (n = 41) and those treated with other antipsychotics (n = 21). Rates of reoffending behavior in the general, nonviolent, violent, and sexual categories were calculated after two years of follow-up. Although not statistically significant, the two-year criminal conviction rates of those treated with other antipsychotics in all offense categories except sexual reoffending were two-fold higher than in those treated with clozapine. The time from release to the first offense and crime-free time in the community were significantly longer in the clozapine group. By prolonging the time it takes from release to first offense, clozapine confers additional crime-reduction advantages.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".