Canadian Gambling Digest 2013-2014
Bibliographic record
Abstract
The Digest is arranged by subject matter, starting with general industry data (venues, games, charitable gaming licences), followed by revenues; revenue distributions; gambling participation; problem gambling prevalence; problem gambling assistance; and on-site information and support at gaming venues. Data in each section are presented in tables and figures. Accompanying text describes the data and highlights some of its more salient features. While considerable effort is made to ensure that the data in a given table or figure are comparable across provinces, this is not always possible due to differences in record keeping and other factors. Unless stated otherwise, all data in this edition of the Digest pertain to fiscal 2013-14 (April 1st, 2013 to March 31st, 2014). Revenues have been rounded off to the nearest thousand. After the quantitative component of the report, there is a section entitled, Organization and Management of Gambling in Canada. This section provides an overview of the operation, regulation and management of gambling in each province, and is designed to give readers a more encompassing look at the similarities and differences in how gambling is run across the country.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.160 | 0.048 |
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".