Access to cannabis retail stores across Canada 6 months following legalization: a descriptive study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: On Oct. 17, 2018, Canada legalized recreational cannabis with the dual goals of reducing youth use and eliminating the illicit cannabis market. We examined factors associated with access to physical cannabis stores across Canada 6 months following legalization. METHODS: We extracted the address and operating hours of all legal cannabis stores in Canada from online government and private listings. We conducted a descriptive study examining the association between private/hybrid (mixture of government and private stores) and government-only retail models with 4 measures of physical access to cannabis: store density, weekly hours of operation, median distance to the nearest school and relative availability of cannabis stores between low- and high-income neighbourhoods. RESULTS: Six months after legalization, there were 260 cannabis retail stores across Canada: 181 privately run stores, 55 government-run stores and 24 stores in the hybrid retail system. Compared to jurisdictions with a government-run model, jurisdictions with a private/hybrid retail model had 49% (95% confidence interval 10%-200%) more stores per capita, retailers were open on average 9.2 more hours per week, and stores were located closer to schools (median 166.7 m). In both retail models, there was over twice the concentration of cannabis stores in neighbourhoods in the lowest income quintile compared to the highest income quintile. INTERPRETATION: Marked differences in physical access to cannabis retail are emerging between jurisdictions with private/hybrid retail models and those with government-only retail models. Ongoing surveillance including monitoring differences in cannabis use and harms across jurisdictions is needed.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it