‘Enter at your own risk’: a multimethod study of air quality and biological measures in Canadian waterpipe cafes
Bibliographic record
Abstract
BACKGROUND: Tobacco and non-tobacco-based waterpipe smoking has increased exponentially in many countries in recent decades, particularly among youth and young adults. Although tobacco smoking is banned in many indoor public places, waterpipe smoking, ostensibly non-tobacco, continues in Ontario and other jurisdictions where only tobacco smoking is prohibited. This study assessed air quality and exposure in waterpipe cafes using multiple methods and markers. METHODS: Indoor (n=12) and outdoor (n=5) air quality was assessed in Toronto, Canada waterpipe cafes from 30 August to 11 October 2012. Real-time measurements of air nicotine, fine particulate matter less than 2.5 microns in diameter (PM2.5) and ambient carbon monoxide (CO) were collected in 2 h sessions. Levels of CO in breath were collected in non-smoking field staff before entering and upon leaving venues. Observations of occupant behaviour, environmental changes and venue characteristics were also recorded. RESULTS: In indoor venues, mean values were 1419 µg/m(3) for PM2.5, 17.7 ppm for ambient CO, and 3.3 µg/m(3) for air nicotine. Levels increased with increasing number of active waterpipes. On outdoor patios, mean values were 80.5 µg/m(3) for PM2.5, 0.5 ppm for ambient CO, and 0.6 µg/m(3) for air nicotine. Air quality levels in indoor waterpipe cafes are hazardous for human health. Outdoor waterpipe cafes showed less harmful particulate levels than indoors, but mean PM2.5 levels (80.5 µg/m(3)) were still 'poor'. CONCLUSIONS: Staff and patrons of waterpipe cafes are exposed to air quality levels considered hazardous to human health. Results support eliminating waterpipe smoking in hospitality venues indoors and out.
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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".