Beyond drugs and alcohol: Including gambling in a high-risk behavioural framework
Bibliographic record
Abstract
Studies throughout North America have suggested that more adolescents are gambling today than in the past. Over the past decade, gambling has become a popular form of entertainment and part of mainstream society. With the increase in gambling availability has come a rise in not only the number of youth who participate in gambling, but also the number who exhibit serious gambling problems. There is growing concern that adolescents and young adults are the highest risk group for problem gambling. The National Research Council, in its critical review of pathological gambling, indicated that the prevalence of problem gambling among adolescents is consistently higher than among adults, despite differences in measurement. Yet, efforts to prevent and treat problems among this population have only recently emerged as an important adolescent health issue. The present article reviews the risk factors, mental health correlates and warning signs of adolescent gambling problems, with the aim of raising awareness among health professionals working with youth of the need to address this issue within their practices.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".