Bibliographic record
Abstract
OBJECTIVES: This article examines exposure to second-hand smoke (SHS) in 2003 in various settings by age and sex, and compares exposure indicators by province and health region. DATA SOURCE: The data are from the 2000/01 and 2003 Canadian Community Health Survey, conducted by Statistics Canada. ANALYTICAL TECHNIQUES: Rates of exposure to SHS among non-smokers are calculated by sex, age and location for the household population aged 12 or older. Rates of exposure at work are examined for employed non-smokers aged 15 or older. Smoking prevalence is expressed as a percentage of the household population aged 12 or older. MAIN RESULTS: In 2003, 33% of non-smokers reported that they were regularly exposed to SHS. The risk of exposure was greatest in public spaces, but regardless of setting, rates of exposure were higher for men than women. Exposure rates varied by age and peaked in young adulthood. However, at home and at work, the younger the non-smokers, the more likely they were to be exposed to SHS. Disparities in SHS exposure by province/territory and by health region were substantial.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".