Contraband cigarette consumption among adolescent daily smokers in Ontario, Canada: Table 1
Bibliographic record
Abstract
The WHO Framework Convention on Tobacco Control (FCTC) states that the elimination of illicit trade in tobacco is an essential component of tobacco control.1 Contraband tobacco may be particularly attractive to adolescent smokers, owing to its lower price and lack of point-of-sale age restrictions. At this time, however, little is known about youth involvement in the illicit tobacco trade. According to the Royal Canadian Mounted Police,2 the bulk of the Canadian contraband tobacco supply comprises cheap, untaxed cigarettes manufactured on, and smuggled from, the US side of the Akwesasne First Nations/Native (American Indian) community, which straddles the US-Canada border across regions in upper New York State, Ontario and Quebec. The Canadian tobacco black market is also supplied by manufacturing facilities in Canada, however, as well as by other sources.2 The present study aims to assess the usage prevalence and market share of reserve-manufactured contraband cigarettes, commonly known as Native cigarettes, among high school daily smokers in Ontario, Canada. Data came from the 2009 Ontario Student Drug Use and Health Survey (OSDUHS),3 a provincially representative, school-based survey of …
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".