Measuring gambling and problem gambling in Alberta using the Canadian problem gambling index (CPGI) : final report
Bibliographic record
Abstract
This study is funded by a research grant provided by the Alberta Gaming Research Institute and is the third study in eight years to survey adult Albertans gambling patterns and behaviours (Wynne, Smith, & Volberg, 1994; Wynne Resources, 1998). The focus of this research project is twofold; that is, to use the newly-minted CPGI to describe the gambling practices of adult Albertans and to gain insight into the extent of problem gambling behaviour in this population. The results are intended to serve as a baseline measure for future Alberta problem gambling prevalence research, and ultimately, it is envisaged that these comparable studies will feed into a database that profiles gambling and problem gambling behavior across Canada. The remainder of this chapter includes a brief update of changes to the Alberta legal gambling landscape since the 1998 study; it proceeds with a discussion of problem gambling as a public health issue, and concludes with an elaboration of the Measuring Problem Gambling in Canada project, which generated the CPGI.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".