Recidivism risk factors are correlated with a history of psychiatric hospitalization among sex offenders.
Bibliographic record
Abstract
Sexual offenders are more likely to have a history of psychiatric hospitalization compared with the general population. This finding suggests that a history of psychiatric hospitalization is a plausible risk factor for the initiation of sexual crimes. It is less clear, however, whether psychiatric hospitalization is associated with risk factors for criminal recidivism. Consequently, the current study examined the correlates of psychiatric hospitalization and its relevance for risk assessment in a sample of sexual offenders on community supervision (N = 947). In this sample, a history of psychiatric hospitalization significantly increased the rate of sexual recidivism (hazard ratio = 1.95). After controlling for well-established risk factors, however, the association was no longer statistically significant. Consequently, this study supported an indirect effect of a history of psychiatric hospitalization, such that the association between psychiatric symptoms and recidivism was mediated by criminogenic needs (e.g., poor general self-regulation, loneliness, and social rejection). Replication studies are needed to confirm this association, and to further understand the link between mental illness and recidivism for sexual offenders. (PsycINFO Database Record
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".