Public Health and Therapeutic Aspects of Smoking Bans in Mental Health and Addiction Settings
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
OBJECTIVE: Health care facilities are increasingly implementing policies that ban smoking. A concern has been raised that these policies may have a negative impact on smokers who are mentally ill or substance dependent. The authors conducted a literature review to analyze the relevant empirical evidence. METHODS: Major health care databases were searched. Major search terms included smoking, smoking cessation, nicotine, health policy, hospital policy, smoke-free policy, psychiatric disorders, and substance use disorders. The search was limited to empirical studies, which were analyzed on the basis of design, the behavioral indicators monitored, and the results of questionnaires. RESULTS AND CONCLUSIONS: A total of 22 investigations of the impact of total or partial smoking bans suggest that the policies have had no major longstanding untoward effect in terms of behavioral indicators of unrest or compliance. However, the policies appear to have had little or no effect on smoking cessation. Smoking cessation strategies should be an inherent component of policies that ban smoking.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it