Behavioural and Substance Use Problems in Rural and Urban Delinquent Youths
Bibliographic record
Abstract
OBJECTIVE: To examine rates of behavioural and substance use problems in incarcerated young offenders and to explore rural and urban differences in the expression and severity of these problems. METHOD: We assessed a sample of 68 confined male young offenders (63.3% rural and 35.3% urban), using the Drug Use Screening Inventory (DUSI) and the Youth Self-Report (YSR). RESULTS: Based on clinical cut-offs, data showed high rates of externalizing behavioural problems (75.4%) and substance use problems (95.7%). Urban delinquent youths showed higher rates of attention problems, delinquent behaviours, and externalizing behaviours than those in rural communities. CONCLUSIONS: Incarcerated young offenders show elevated rates of psychological problems that require treatment. Rural and urban differences in the rates of these problems may reflect differences in community service availability in these areas or in environmental influences on the development of child behavioural problems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".