Impact on alcohol‐related mortality of a rapid rise in the density of private liquor outlets in British Columbia: a local area multi‐level analysis
Bibliographic record
Abstract
AIMS: To study relationships between rates of alcohol-related deaths and (i) the density of liquor outlets and (ii) the proportion of liquor stores owned privately in British Columbia (BC) during a period of rapid increase in private stores. DESIGN: Multi-level regression analyses assessed the relationship between population rates of private liquor stores and alcohol-related mortality after adjusting for potential confounding. SETTING: The 89 local health areas of BC, Canada across a 6-year period from 2003 to 2008, for a longitudinal sample with n = 534. MEASUREMENTS: Population rates of liquor store density, alcohol-related death and socio-economic variables obtained from government sources. FINDINGS: The total number of liquor stores per 1000 residents was associated significantly and positively with population rates of alcohol-related death (P < 0.01). A conservative estimate is that rates of alcohol-related death increased by 3.25% for each 20% increase in private store density. The percentage of liquor stores in private ownership was also associated independently with local rates of alcohol-related death after controlling for overall liquor store density (P < 0.05). Alternative models confirmed significant relationships between changes in private store density and mortality over time. CONCLUSIONS: The rapidly rising densities of private liquor stores in British Columbia from 2003 to 2008 was associated with a significant local-area increase in rates of alcohol-related death.
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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 | 0.001 |
| 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".