Attitudes, practices and beliefs towards worksite smoking among administrators of private and public enterprises in Armenia
Bibliographic record
Abstract
BACKGROUND: In March 2005, Armenia enacted legislation protecting employees from secondhand smoke. This research was the first attempt to understand the attitudes, beliefs and practices of managers of public and private enterprises regarding smoke-free worksite policies. METHODS: Mixed methods were used. The study team conducted focus group discussions with worksite administrators to explore their beliefs, attitudes and practices related to worksite smoking. These findings guided development of a quantitative instrument to collect more representative data on the same issues. Using stratified random sampling, 243 worksites were interviewed from June-July 2005, representing state/municipal, health, educational, culture and business institutions in three of Armenia's largest cities. RESULTS/DISCUSSION: Smoking-related practices differed significantly across institutions. More than half of the managers (55.6%) reported having smoking restrictions at worksites, including 37.0% who reported smoke-free workplaces; however, smoking or the presence of ashtrays was observed in 27.8% of workplaces reported to be smoke-free. A substantial proportion of the administrators favored both banning indoor smoking and allowing smoking in special areas. Only 38.0% of managers were aware of employees' existing legal protections from exposure to secondhand smoke. Knowledge of these regulations was not related to adherence to smoke-free worksite policies. The research also revealed widespread confusion between the concepts of worksite smoking restrictions and smoke-free workplaces. Public awareness campaigns that promote promulgation and enforcement of worksite smoking regulations could increase employee demand for smoke-free worksites. CONCLUSION: As one of the first studies to investigate smoking-related worksite practices, attitudes and beliefs in former Soviet countries, these findings provide insight into law enforcement processes in economies in transition.
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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".