Bibliographic record
Abstract
Recent data from the Canadian Tobacco Use Monitoring Survey indicate that more than half of adult Canadians (54%) have never smoked, and another 24% are former smokers. By 2001, just 22% of Canadians age 15 or older were smokers, down from 24% in 2000 and 25% in 1999. Males were more likely than females to smoke (24% vs. 16%). For both males and females, the highest smoking rates were found in the 20-to-24 age group (35% and 29%, respectively), and the lowest rates were among those aged 55 or older (14% and 12%). At 26%, Newfoundland and Labrador and Prince Edward Island had the highest proportion of smokers, while British Columbia had the lowest (17%). Canadian smokers consumed an average of 16.2 cigarettes per day in 2001. There were slight variations by age, with those aged 45 or older smoking an average of 17.4 cigarettes and those aged 15 to 19 smoking 12.9. Men tended to smoke more than women (17.1 per day vs. 15). Twenty-two percent of smokers light their first cigarette within 5 minutes of waking up, while 24% wait for at least an hour before reaching for one. Half of daily smokers had made no attempt to quit during the previous year, while 38% had tried to quit 1 to 3 times and 12% had made 4 or more attempts. Smokers aged 45 and older were least likely to have attempted to quit in the past year (39%), while smokers aged 15 to 19 were most likely to have tried to kick the habit (68%). — Shelley Martin, Senior Analyst, CMA Research, Policy and Planning Directorate
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.107 | 0.054 |
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".