Gaining Insights Into the Waterpipe Tobacco Industry: Participant Observation and a Cross-Sectional Survey of Products at a Trade Exhibition
Bibliographic record
Abstract
INTRODUCTION: The rise in waterpipe tobacco smoking has been accompanied by the emergence of a diverse range of products, such as "herbal" waterpipe tobacco substitutes and electronic waterpipes. The aims of this study were to assess the extent to which emerging waterpipe products are being developed by waterpipe tobacco companies themselves, to understand the key characteristics of the main market players, and to examine the connections between producers of different product categories. METHODS: In 2014, one researcher attended an international waterpipe trade exhibition in Germany, conducting a survey of products at exhibition stands, and gathering qualitative data on exhibitors and products using participant observation. Cross-tabulations and chi-square tests identified the association between waterpipe tobacco, waterpipe tobacco substitutes, and electronic waterpipe products. We thematically analyzed field notes into information about exhibitors and products. RESULTS: Of 97 exhibitors, 55 displayed waterpipe-related products. Of these, nearly half (45%) displayed electronic waterpipe products, 38% displayed waterpipe tobacco and 23% displayed waterpipe tobacco substitutes. There was an inverse association between the display of waterpipe tobacco and electronic waterpipe products, and a positive association between the display of waterpipe tobacco and waterpipe tobacco substitutes. We found that Japan Tobacco Inc, Philip Morris, and British American Tobacco were partnered or affiliated with exhibitors displaying waterpipe-related products. CONCLUSIONS: Electronic waterpipe products were the main feature of this exhibition. Waterpipe tobacco substitutes are likely to be produced by the waterpipe tobacco industry whereas electronic waterpipes are not. There is a developing interest in waterpipe-related products by transnational tobacco corporations. Further industry surveillance is warranted.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| 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".