Do cigarette prices near secondary schools vary by area-level socioeconomic status? Findings from a field study in Ontario and Québec, Canada
Bibliographic record
Abstract
OBJECTIVES: To examine, in the context of youth smoking, whether cigarette prices near secondary schools varied by area-level socioeconomic status in Southwestern and Central Ontario, and the greater Montréal region. METHODS: We collected cigarette prices four times between 2016 and 2019 from stores near secondary schools and used mixed-effects and ordinary least squares regressions. RESULTS: We found consistent evidence that cigarette prices near secondary schools were lower in neighbourhoods with lower area-level household income, and that differences were large enough to be meaningful. In Ontario and Québec, our results indicate a Can$0.26 [0.04, 0.47] to Can$0.51 [0.33, 0.69] and Can$0.10 [-0.04, 0.24] to Can$0.37 [0.22, 0.52] difference in prices for a pack of 25 cigarettes between neighbourhoods with a median household income standard deviation below/above the provincial median, respectively. CONCLUSION: Policy changes that limit area-level cigarette price differences without lowering cigarette prices may reduce inequities in youth smoking.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".