Awareness and impact of casino responsible gambling/harm minimization measures among Canadian electronic gaming machine players
Bibliographic record
Abstract
Responsible Gambling/Harm Minimization (RG/HM) measures have the potential to reduce population level gambling harms. The present study examines Canadian casino electronic gaming machine (EGM) players’ (n = 2808) awareness of a selection of the available RG/HM measures, and the impact they believed these measures had on their gambling expenditure and enjoyment. The results showed that Canadian casino EGM players were generally aware of most of the measures, with this awareness being significantly higher among at-risk and problem/pathological gamblers. However, these measures had very little perceived impact on their gambling expenditure or enjoyment. Subsequent multivariate analyzes found that a) increased levels of overall awareness of RG/HM measures were related to male gender, younger age, and higher importance of gambling as a leisure activity; b) that decreased perceived expenditure from RG/HM measures were related to younger age, being an at-risk gambler, and the frequency of limit setting in the context of gambling play; and c) increased perceived enjoyment from RG/HM measures were related to lower household incomes. Messages targeted at Canadian casino EGM players who appear sensitive to the potential and actual harms of gambling, and messages relating to limit setting frequency in the context of gambling play, may impact gambling perceptions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".