An investigation of the effect of privatization of retail sales of alcohol on consumption and traffic accidents in Alberta, Canada
Bibliographic record
Abstract
AIMS: Privatization of the retail sale of alcohol in Alberta took place primarily between the end of the 1980s and the beginning of the 1990s. The aim of this study was to evaluate the effects of this privatization on alcohol sales and on the incidence of fatal motor vehicle traffic accidents in the province. DATA AND METHOD: Interrupted time-series analysis (ARIMA) with a quasi-experimental control area design was used, and all series were differenced to remove long-term trends. Canada, with the exception of Alberta, was the control area. The effects of privatization were measured by means of created privatization variables. In the analyses of the effects of privatization on alcohol sales, the inhabitants' disposable income and alcohol prices were used as control variables. The study period was 1950-2000. When effects on the number of fatal motor vehicle traffic accidents were analysed the number of road motor vehicle registrations was used as a control variable, and the study period was 1950-98. FINDINGS: Privatization had a significant permanent effect on the sale of spirits, but the effect was not large enough to affect total sales. The effect on wine and beer sales was not significant. There was no significant effect on the number of fatal motor vehicle traffic accidents. CONCLUSION: The fact that sales on the wholesale level continued to be monopolized, along with the fact that alcohol sales were never allowed in ordinary grocery stores, may explain the lack of any larger effects of privatization on alcohol sales in Alberta.
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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 | 0.000 |
| 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".