Sociodemographic and Substance Use Correlates of Gambling Behavior in the Canadian General Population
Bibliographic record
Abstract
This study describes sociodemographic and substance use correlates of gambling behaviors, measured among 9,481 past-year gamblers from the Canadian general population. Compared to non-problem gamblers in this study (N=8,035), the 98 problem gamblers who scored 8 or more points on the Canadian Problem Gambling Research Index were more likely to report being "drunk or high" while gambling (adjusted odds ratio [AOR]: 8.92; 95% confidence interval [CI]: 5.46,14.55; p<.001), to admit to having an alcohol or drug problem (AOR: 3.80; 95% CI:2.21,6.52; p<.001), and to use electronic gambling devices (AOR: 4.85; 95% CI: 3.08-7.66; p<.001).
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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 | 0.000 | 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 | 0.000 | 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".