Gambling and Related Mental Disorders: A Public Health Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article reviews the prevalence of gambling and related mental disorders from a public health perspective. It traces the expansion of gambling in North America and the psychological, economic, and social consequences for the public's health, and then considers both the costs and benefits of gambling and the history of gambling prevalence research. A public health approach is applied to understanding the epidemiology of gambling-related problems. International prevalence rates are provided and the prevalence of mental disorders that often are comorbid with gambling problems is reviewed. Analysis includes an examination of groups vulnerable to gambling-related disorders and the methodological and conceptual matters that might influence epidemiological research and prevalence rates related to gambling. The major public health problems associated with gambling are considered and recommendations made for public health policy, practice, and research. The enduring value of a public health perspective is that it applies different 'lenses' for understanding gambling behaviour, analysing its benefits and costs, as well as identifying strategies for action. Harvey A. Skinner (160, p. 286)
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it