Tobacco related bar promotions: insights from tobacco industry documents
Bibliographic record
Abstract
OBJECTIVES: To examine the tobacco industry's use of bar promotions, including their target groups, objectives, strategies, techniques, and results. DESIGN: Over 2000 tobacco industry documents available as a result of the Master Settlement Agreement were reviewed on the internet at several key web sites using keyword searches that included "bar", "night", "pub", "party", and "club". The majority of the documents deal with the US market, with a minor emphasis on Canadian and overseas markets. RESULTS: The documents indicate that bar promotions are important for creating and maintaining brand image, and are generally targeted at a young adult audience. Several measures of the success of these promotions are used, including number of individuals exposed to the promotion, number of promotional items given away, and increased sales of a particular brand during and after the promotion. CONCLUSION: Bar promotions position cigarettes as being part of a glamorous lifestyle that includes attendance at nightclubs and bars, and appear to be highly successful in increasing sales of particular brands.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".