The prevalence of problem gambling among substance abusing offenders
Bibliographic record
Abstract
Research suggests that problem gambling is associated with substance and alcohol abuse, criminal activity, and involvement in the criminal justice system. The present study assessed the lifetime prevalence of pathological and problem gambling among a population in which these risk factors are compounded, specifically adults mandated to participate in drug court. A sample of 602 participants completed the South Oaks Gambling Screen. Nearly 72% of the participants were male, and the majority identified as White (53%) or Black (37%). Results indicated that the prevalence and severity of problem gambling may be elevated within this population. Over 30% of respondents were assessed as probable pathological or problem gamblers (20.1% and 10.3%, respectively), and 22% as being at low risk. Results suggest that problem gambling is a salient issue among substance-abusing offenders. Resources should be dedicated to screening and developing evidence based best practices for the prevention and treatment of problem gambling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".