Problem Gambling and Mental Health Comorbidity in Canadian Federal Offenders
Bibliographic record
Abstract
This article examines the relationship between problem gambling, mental health, and criminal behavior in a sample of incarcerated Canadian male federal offenders ( N = 254). In particular, the study compared correlates of problem gambling in the offender population with the correlates of problem gambling in a nonoffender population from a previous study. The offenders were assessed using self-report tests, interviews, and a file review. Of these offenders, 106 were interviewed in more depth. Results indicated that problem gambling was significantly correlated with social anxiety, depression, substance abuse, impulsiveness, and current and childhood attention-deficit/hyperactivity disorder (ADHD) symptoms. In addition, the results indicated that the correlates of problem gambling were similar in offender and nonoffender populations. The relationship of gambling problems to depression, anxiety, substance abuse, ADHD, and impulsiveness suggests that any intervention for this population needs to be comprehensive and take into consideration a broad range of clinical needs.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".