Targeting youth and concerned smokers: evidence from Canadian tobacco industry documents
Bibliographic record
Abstract
OBJECTIVE: To provide an understanding of the targeting strategies of cigarette marketing, and the functions and importance of the advertising images chosen. METHODS: Analysis of historical corporate documents produced by affiliates of British American Tobacco (BAT) and RJ Reynolds (RJR) in Canadian litigation challenging tobacco advertising regulation, the Tobacco Products Control Act (1987): Imperial Tobacco Limitee & RJR-Macdonald Inc c. Le Procurer General du Canada. RESULTS: Careful and extensive research has been employed in all stages of the process of conceiving, developing, refining, and deploying cigarette advertising. Two segments commanding much management attention are "starters" and "concerned smokers". To recruit starters, brand images communicate independence, freedom and (sometimes) peer acceptance. These advertising images portray smokers as attractive and autonomous, accepted and admired, athletic and at home in nature. For "lighter" brands reassuring health concerned smokers, lest they quit, advertisements provide imagery conveying a sense of well being, harmony with nature, and a consumer's self image as intelligent. CONCLUSIONS: The industry's steadfast assertions that its advertising influences only brand loyalty and switching in both its intent and effect is directly contradicted by their internal documents and proven false. So too is the justification of cigarette advertising as a medium creating better informed consumers, since visual imagery, not information, is the means of advertising influence.
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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 | 0.014 | 0.089 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".