Portrait of gambling in Quebec: Prevalence, incidence and trajectories over four years
Bibliographic record
Abstract
This project is part of the collaborative funding program « Les jeux de hasard et d’argent au Québec : Portrait des joueurs adultes et prévalence des problèmes associés » of the Fonds québécois de la recherche sur la société et la culture (FQRSC). This project is conducted over a period of five years. It aims at generating data on the prevalence of gambling behaviours and associated problems among the adult population of Quebec. The project is carried out in two stages – one in 2009, the subject of this report, and another in 2012, a follow-up survey. The current report describes the problems associated with gambling by type of game, and devotes special attention to the prevalence of at-risk and probable pathological gamblers, namely, the most vulnerable groups of the population. The presentation of populational tables in the results allows for recommendations to be made for the prevention of gambling problems and the treatment of players struggling with problems. This report describes the first stage of the project.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".