Social disparities in children's exposure to secondhand smoke in privately owned vehicles
Bibliographic record
Abstract
INTRODUCTION: Secondhand smoke (SHS) can quickly attain high concentrations in cars, posing health risks to passengers and especially to children. This paper assesses whether there are social disparities in children's exposure to SHS in privately owned vehicles. METHODS: On weekday mornings and afternoons from September to November 2011, trained observers were stationed at 100 selected street intersections in Montreal, Canada. For each car transporting at least one passenger aged 0-15 years travelling through the intersection, observers recorded the estimated age of the youngest child in the car, whether any occupant was smoking and the licence plate number of the car. Licence plate numbers were linked to an area material deprivation index based on the postal code of the neighbourhood in which the car was registered. RESULTS: Smoking was observed in 0.7% of 20 922 cars transporting children. There was an apparent dose-response in the association between area material deprivation level and children's exposure to SHS in cars. Children travelling in cars registered in the most disadvantaged areas of Montreal were more likely to be exposed to SHS than children travelling in cars registered in the most advantaged areas (unadjusted OR=3.46, 95% CI 1.99 to 6.01). CONCLUSIONS: This study revealed social disparities in children's exposure to SHS in privately owned vehicles.
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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 | 0.000 | 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".