Opportunities for Video Lottery Terminal Gambling in Montréal: An Environmental Analysis
Bibliographic record
Abstract
Background: In the province of Québec, video lottery terminal (VLT) gambling has proliferated under government control since 1 993. The aims of this study were to describe the spatial distribution of video lottery terminals (VLTs) in the municipalities of Montréal and Laval and to identify neighbourhood socio-economic conditions associated with their distribution.\nMethod: Locations of all establishments holding VLT licences in Montréal and Laval (n=834) were geocoded by their street address. Boroughs (n=49) were characterized by socio-economic indicators (unemployment, educational attainment, lone parenthood), a neighbourhood distress index, and measures of VLT prevalence, VLT adoption and VLT density.\nResults: VLT prevalence, adoption and density were strongly correlated (p\nConclusions: The spatial distribution of VLTs in Montréal and Laval closely reflects local geographies of socio-economic disadvantage. Any public health effort to reduce the burden of gambling-related health and social problems must recognize the spatial distortion of gambling opportunities in the urban environment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".