Support for and reported compliance with smoke-free restaurants and bars by smokers in four countries: findings from the International Tobacco Control (ITC) Four Country Survey
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To explore determinants of support for and reported compliance with smoke-free policies in restaurants and bars across the four countries of the International Tobacco Control (ITC) Four Country Survey. DESIGN: Separate telephone cross-sectional surveys conducted between October and December 2002 with broadly representative samples of over 2000 adult (>or=18 years) cigarette smokers in each of the following four countries: the United States, Canada, the United Kingdom, and Australia. OUTCOME MEASURES: Support for smoke-free policies in restaurants and pubs/bars and reported compliance with existing policies. RESULTS: Reported total bans on indoor smoking in restaurants varied from 62% in Australia to 5% in the UK. Smoking bans in bars were less common, with California in the USA being the only major part of any country with documented bans. Support for bans in both restaurants and bars was related to the existence of bans, beliefs about passive smoking being harmful, lower average cigarette consumption, and older age. Self-reported compliance with a smoking ban was generally high and was associated with greater support for the ban. CONCLUSIONS: Among current cigarette smokers, support for smoking bans was associated with living in a place where the law prohibits smoking. Smokers adjust and both accept and comply with smoke-free laws. Associates of support and compliance are remarkably similar across countries given the notably different levels of smoke-free policies.
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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 | 0.000 |
| 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 it