Men with Schizophrenia Who Behave Violently: The Usefulness of an Early- Versus Late-Start Offender Typology
Bibliographic record
Abstract
Persons who develop schizophrenia are more likely than nondisordered persons to commit crimes. It is important to investigate those who offend, in order to develop treatment programs that effectively prevent recidivism, and eventually, early childhood violence prevention programs. Recent studies have shown that among offenders with major mental disorders, there are two groups: early starters, who begin their criminal careers in adolescence; and late starters, who first offend as adults. The present study examined 272 violent male offenders with schizophrenia in Sweden who underwent a pretrial psychiatric assessment between 1988 and 1995. Early- and late-start offenders were found to present differences in behavior, comorbid disorders, personality traits, and referrals for treatment in childhood, adolescence, and adulthood. Their parents also differed. The findings have implications for treatment and management of offenders with schizophrenia, for risk assessment, and for prevention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".