Use of and beliefs about light cigarettes in four countries: Findings from the International Tobacco Control Policy Evaluation Survey
Bibliographic record
Abstract
This study examined reported use of, and beliefs about, so-called light cigarettes among adult smokers in four countries: Australia (Aus), Canada (Can), the United Kingdom (U.K.) and the United States (U.S.). The method used was parallel telephone surveys among 9,046 smokers across the four countries. The results indicated that more than half of all smokers in each country except the U.K. reported smoking light cigarette brands. A majority of smokers surveyed in each country except Canada continue to believe that light cigarettes offer some health benefit compared to regular cigarettes (Canada 43%, U.S. 51%, Australia 55%, U.K. 70%). A majority of smokers in all four countries believed that light cigarettes are smoother on the throat and chest than regular cigarettes. Predictors of use of light cigarettes and beliefs about possible benefits were very similar in the four countries. These results demonstrate an ongoing need for public education about why light cigarettes do not reduce harm and do not make quitting easier. The results provide further evidence for the need for regulatory measures in all four countries to prohibit the use of misleading light and mild descriptors including package imagery in product marketing (as prescribed in Article 11 of the Framework Convention on Tobacco Control), abandon the use of standard FTC/ISO tar and nicotine yields as consumer information, and adopt policies to regulate deceptive design features of cigarettes, such as ventilated filters.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".