Legislation on smoking in enclosed public places in Scotland: how will we evaluate the impact?
Bibliographic record
Abstract
BACKGROUND: From 26 March 2006, smoking will be prohibited in wholly and substantially enclosed public places in Scotland, and it will be an offence to permit smoking or to smoke in no-smoking premises. We anticipate that implementation of the smoke-free legislation will result in significant health gains associated with reductions in exposure to both environmental tobacco smoke (ETS) and personal tobacco consumption as well as other social and economic impacts. METHODS: Health Scotland in conjunction with the Information Services Division (ISD) Scotland and the Scottish Executive have developed a comprehensive evaluation strategy to assess the expected short-term, intermediate and long-term outcomes. Using routine health, behavioural and economic data and commissioned research, we will assess the impact of the smoke-free legislation in eight key outcome areas--knowledge and attitudes, ETS exposure, compliance, culture, smoking prevalence and tobacco consumption, tobacco-related morbidity and mortality, economic impacts on the hospitality sector and health inequalities. CONCLUSION: The findings from this evaluation will make a significant contribution to the international understanding of the health effects of exposure to ETS and the broader social, cultural and economic impacts of smoke-free legislation.
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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 | 0.013 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".