Changes in retail sales of tobacco products in Ontario after a menthol sales restriction
Bibliographic record
Abstract
BACKGROUND: Ontario, Canada prohibited menthol tobacco product sales beginning 1 January 2017. We measured retail sales of menthol cigarettes and possible substitute products before and after policy implementation in Ontario. METHODS: We licensed retail scanner data for tobacco product sales in Ontario and British Columbia (BC), a comparison province without a menthol tobacco policy at that time. We assessed changes in per capita unit sales (per 1000 people) from pre-policy (January-June 2016) to post-policy (January-June 2017) periods. Classification of cigarettes as menthol or non-menthol, or having menthol-suggestive descriptors ('green', 'blue', 'silver' and 'fresh'), was based on scanner data. RESULTS: Ontario menthol cigarette sales decreased 93%, from 596 to 40 packs per capita compared with a 2% decrease (696 to 679 packs per capita) in BC. Menthol capsule cigarette sales remained low in Ontario (<1% of total cigarette sales) but rose sixfold in BC. Although cigar sales data were unavailable, substitution appeared minimal; sales of non-menthol cigarettes increased 0.4% in Ontario (11 470 to 11 519 packs per capita) while vaping product sales decreased. Ontario had a larger increase in sales of cigarettes with menthol-suggestive descriptors (11% increase) than BC (3% increase). In Ontario, nearly all (>99%) pre-policy sales of cigarettes with 'green' menthol-suggestive descriptors were menthol cigarettes, but post-policy, 94% of 'green' cigarettes sold were non-menthol. CONCLUSIONS: Ontario's menthol policy was associated with a decrease in retail sales of cigarettes classified as menthol, with little evidence of product substitution. Understanding changes in sales of cigarettes with menthol-suggestive descriptors would be informative.
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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".