Bibliographic record
Abstract
BACKGROUND: The California Department of Public Health (CDPH), California Tobacco Control Program (CTCP) is one of the longest-running comprehensive tobacco control programmes in the USA, resulting from a 1988 ballot initiative that added a 25-cent tax on each pack of cigarettes and a proportional tax increase on other tobacco products. This programme used a social norm change approach to reduce tobacco use. METHODS: The operation, structure, evolution, programme dissemination and results are reviewed. RESULTS: The sustained programme implementation has reduced adult per capita cigarette consumption by over 60% and adult smoking prevalence by 35%, from 22.7% in 1988 to 13.8% in 2007. From 1988 to 2004, lung and bronchus cancer rates in California declined at nearly four times the rate of decline seen in the rest of the USA and the programme is associated with an $86 billion savings in healthcare costs. Youth smoking rates among 12-17 years olds are the second lowest in the nation. CONCLUSIONS: The social norm change approach is effective at reducing tobacco consumption, adult smoking and youth uptake. This approach resulted in declines in tobacco-related diseases and is associated with savings in healthcare expenditures. In considering CTCP's effectiveness, the takeaway message is that it should be viewed as a unified programme rather than a collection of independent interventions. The programme was designed and implemented as one where the parts complement and reinforce each other. Its effectiveness is dependent on its comprehensive strategy rather than any one part of the intervention.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".