The impact and acceptability of Canadian-style cigarette warning labels among U.S. smokers and nonsmokers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cigarette smoking is a major source of mortality and medical costs in the United States. More graphic and salient warning labels on cigarette packs as used in Canada may help to reduce smoking initiation and increase quit attempts. However, the labels also may lead to defensive reactions among smokers. In an experimental setting, smokers and nonsmokers were exposed to Canadian or U.S. warning labels. Compared with current U.S. labels, Canadian labels produced more negative affective reactions to smoking cues and to the smoker image among both smokers and nonsmokers without signs of defensive reactions from smokers. A majority of both smokers and nonsmokers endorsed the use of Canadian labels in the United States. Canadian-style warnings should be adopted in the United States as part of the country's overall tobacco control strategy.
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.
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 | 0.005 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it