Circumventing tobacco control and safety policies to promote waterpipe use in smoking venues: the perspective of staff in waterpipe smoking venues
Bibliographic record
Abstract
OBJECTIVE: To understand Hong Kong waterpipe smoking (WPS) sales and promotion, including strategies to avoid policy enforcement, from the perspective of WPS venue staff. METHODS: Qualitative interviews and observations were guided by interpretive description. 20 WPS venue staff who were responsible for preparing and serving waterpipes to patrons and had worked at the bar for at least 3 months were recruited. In-depth semistructured interviews with WPS venue staff were conducted, in addition to covert and participant observations in 10 WPS venues in Hong Kong. Interpretive description involving constant comparative analysis of qualitative data was adopted to facilitate an inductive analytic approach to generate findings. RESULTS: Two primary themes emerged from analyses of interview and observation data: strategies to avoid law enforcement, and perceived health and safety concerns linked to working and smoking in waterpipe venues. The findings suggest that many Hong Kong venues may be failing to comply with tobacco control policies and developing strategies to circumvent law enforcement. Moreover, waterpipe preparation, allowance of WPS and burning of charcoal in indoor areas were perceived as negatively affecting the health and safety of staff and customers. CONCLUSIONS: The study provides preliminary evidence indicating the ineffectiveness of current tobacco control policy on WPS. Due to its risks to health and safety, and the need to sustain tobacco control efforts for their intended purpose, waterpipe-specific regulations and stricter surveillance on waterpipe sales and promotion are urgently required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".