Impact of an Indoor Smoking Ban on Bar Workers’ Exposure to Secondhand Smoke
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of an indoor smoke-free bylaw in Toronto, Ontario, implemented June 2004. METHODS: We used a pre-post comparison design to assess secondhand smoke (SHS) exposure among 79 eligible bar workers in Toronto, Ontario (bylaw enacted), and 49 eligible bar workers in a control community, Windsor, Ontario (no bylaw change), at four times: preban, and 1, 2, and 9 months postban. RESULTS: SHS exposure time and urinary cotinine level were substantially reduced in Toronto bar workers immediately after the ban by 94% (from 7.8 to 0.5 hours) and 68% (from 24.2 to 7.8 ng/mL), respectively. The reduction was sustained throughout follow-up. There was no change among Windsor bar workers before and after the ban. CONCLUSIONS: Compliance with the ban was high, and the ban led to a substantial reduction in SHS exposure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".