Public support for tobacco control policy extensions in Western Australia: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVES: Policy makers seeking to introduce new tobacco control measures need to anticipate community support to assist them in planning appropriate implementation strategies. This study assessed community support for plain packaging and smoking bans in outdoor locations in Australia. DESIGN: Analytical cross-sectional survey. SETTING AND PARTICIPANTS: 2005 Western Australian adults participated in a computer-assisted telephone interview. Random household telephone numbers were used to obtain a representative sample. OUTCOME MEASURES: Support for plain packaging of cigarettes and smoking bans at outdoor venues by demographic characteristics. RESULTS: Around half of the survey respondents supported plain packaging and almost a further quarter reported being neutral on the issue. Only one in three smokers disagreed with the introduction of a plain packaging policy. A majority of respondents supported smoking bans at five of the six nominated venues, with support being strongest among those with children under the age of 15 years. The venues with the highest levels of support were those where smoke-free policies had already been voluntarily introduced by the venue managers, where children were most likely to be in attendance, and that were more limited in size. CONCLUSIONS: The study results demonstrate community support for new tobacco control policies. This evidence can be used by public policy makers in their deliberations relating to the introduction of more extensive tobacco control regulations.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".