Draft Only Not for citation without written permission of author(s) Refining indirect tobacco advertising in Malaysia
Bibliographic record
Abstract
Malaysia has the reputation of being the world capital for indirect tobacco advertising. In the 1980s and 1990s Malaysia experienced levels of indirect tobacco advertising unprecedented in any other nation. The tobacco transnational companies referred to this form of advertising as trademark diversification (TMD) initiatives in which they set up companies for non-tobacco products naming each after a cigarette brand name. Despite cynicism from critics, the tobacco companies maintained advertising for these TMDs are not for marketing cigarettes and they are not used to circumvent a ban on direct cigarette advertising in the mass media. The internal document reveal otherwise. Systematic keyword and opportunistic searches of formerly private internal industry documents were conducted on tobacco websites. Documents were made available through the Master Settlement Agreement. Keyword used in the searches included indirect advertising, trademark diversification, parallel communication, logo license, and projects, organisations and concepts. Internal documents of tobacco companies reveal that TMD efforts were indeed created to advertise cigarettes after advertising restrictions or bans were imposed. To build public credibility
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.498 | 0.319 |
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".