British Columbia problem gambling prevalence study : final report
Bibliographic record
Abstract
The following report presents the results of a survey conducted by Ipsos Reid and Gemini Research on behalf of the Gaming Policy and Enforcement Branch of British Columbia’s Ministry of Public Safety and Solicitor General. The main objectives of this research were to determine the prevalence and nature of gambling and problem gambling within the adult population of British Columbia, as well as to compare findings to prior surveys completed in British Columbia and in other Canadian provinces. Problem gambling estimates were assessed using the Canadian Problem Gambling Index (CPGI). The survey results are based on a telephone survey with a representative sample of 3,000 adult (18+) British Columbians. Interviews were conducted in English, Chinese and Punjabi between August 29 and October 5, 2007. All data have been weighted to accurately reflect the actual age, gender and regional distribution of adult British Columbians according to 2006 Census figures. The survey’s overall margin of error is ±1.8%, 95 times out of 100.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".