A percepção do cumprimento das leis antifumo em bares e restaurantes em três cidades brasileiras: dados do ITC-Brasil
Bibliographic record
Abstract
Passive smoking causes severe and lethal effects on health. Since 1996 Brazil has been moving forward in the implementation of anti-smoking legislation in enclosed public spaces. This article aims to evaluate the perceived enforcement of anti-smoking legislation in the cities of Porto Alegre (Rio Grande do Sul State), Rio de Janeiro and São Paulo, Brazil, based on the results of the ITC-Brazil Survey (International Tobacco Control Policy Evaluation Project). The results of the survey showed a significant reduction in the proportion of people who saw individuals smoking in restaurants and bars between 2009 and 2013 in the three cities surveyed. Concurrently there was an increase in the proportion of smokers who mentioned having smoked in the outer areas of these facilities. These results likely reflect a successful implementation of anti-smoking laws. Of note is the fact that by decreasing passive smoking we further enhance smoking denormalization among the general population, decreasing smoking initiation and increasing its cessation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".