Prevalence and Correlates of Criminal Activity in Adolescents Treated in Adult Inpatient Mental Health Beds in Ontario, Canada
Bibliographic record
Abstract
Using logistic regression, this study seeks to examine the prevalence and correlates of criminal involvement in the previous year among adolescents in inpatient psychiatric facilities across Ontario, Canada. A sample of 2,613 adolescents aged 12 to 18 years who were admitted to adult inpatient mental health beds were examined. Just over one quarter of adolescents engaged in criminal activity within the past year. Older age, male gender, previous psychiatric admissions, a history of child abuse, poor insight into mental illness, substance use, specific types of mental health disorders, and aggressive behavior were all significantly associated with the presence of prior criminal activity. The well-founded association between mental health problems, substance use, and criminal behavior highlights the need for effective screening in settings providing services in the areas of juvenile justice, mental health, and addictions. Clinician awareness in all three settings is recommended so that these factors associated with at-risk behavior can be identified and appropriate treatment and referrals can be provided at the earliest point of involvement with any of these service systems.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".