To ‘enable our legal product to compete effectively with the transit market’: British American Tobacco's strategies in Thailand following the 1990 GATT dispute
Bibliographic record
Abstract
The opening of the Thai tobacco market, following action brought by the US Trade Representative under the General Agreement on Tariffs and Trade, is seen as a key case study of the tensions between trade and health policy. Interpretations of the dispute cast it, either as an example of how trade agreements undermine national policy-making, or how governments can adopt effective public health protections compliant with international trade rules. As a UK-based company, British American Tobacco has been regarded as peripheral to this dispute. This paper argues that its close monitoring of the illegal trade during this period, the role of smuggling in the company's global business strategy, and its management of the relative supply and pricing of legal and illegal products after market opening provide a fuller understanding of the interests and roles of transnational tobacco companies and the government in this dispute. The findings have important policy implications, notably the role of effective governance in countries facing pressure to open their tobacco sectors, need to better understand corporate-level activities within an increasingly globalised tobacco industry, and need to address the intertwined legal and illegal trade in implementing the WHO Framework Convention on Tobacco Control Protocol to Eliminate Illicit Trade in Tobacco Products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".