Understanding the impact of the Smoke-Free Ontario Act on hospitality establishments' outdoor environments: a survey of restaurants and bars
Bibliographic record
Abstract
BACKGROUND: The Smoke-Free Ontario Act (SFOA) came into effect in May 2006 and included restrictions to outdoor hospitality areas by only permitting smoking on a patio if the area had no roof. OBJECTIVES: (1) To assess the impact of the SFOA on the prevalence of smoke-free patios in Ontario and (2) to determine the proportion of venues where structural alterations were made rather than going smoke-free in order to achieve compliance with the SFOA. METHODS: A telephone survey of 403 hospitality sector operators/owners in four clustered samples of Ontario, Canada. RESULTS: Based on completed surveys, the SFOA resulted in an increase in prevalence of smoke-free patios, from 5% (n=21) to 25% (n=99). Of the patios where smoking was permitted before the SFOA (n=382), 42% (n=161) had physical structures that would make smoking not permissible under the new act. Operators of half of these venues (n=80) made their patios smoke-free, with most indicating they had no choice given the costs or physical limitations to changing their outdoor environment. The other half (n=81) reported making physical changes, including removing roof structures to achieve compliance. CONCLUSION: The SFOA resulted in greater protection from outdoor secondhand smoke; however, most patios still permitted smoking. Half of the venues that complied with the SFOA by going smoke-free did so involuntarily because of structural and/or financial limitations. The majority of venue operators preferred to permit smoking on their patios, and only made their patios smoke-free when they were required to do so by law.
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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 | 0.001 | 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".