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Record W3123609389

Face off: Assessing WTO challenges to Australia's scheme for plain tobacco packaging

2011· article· en· W3123609389 on OpenAlexaboutno aff
Tania Voon, Andrew D. Mitchell

Bibliographic record

Venuee-publications@bond (Bond University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsPermissionSubject (documents)EngineeringComputer scienceLawPolitical scienceLibrary science
DOInot available

Abstract

fetched live from OpenAlex

Within the World Trade Organization ("WTO"), regulatory measures of Canada and the United States restricting "flavoring" of tobacco products including cigarettes with additives such as chocolate, clove and sweeteners are under challenge. At the same time, the tobacco lobby continues to target other tobacco control measures on the basis that they violate international trade or investment law, including Australia's plain packaging proposal, Uruguay's stricter labelling requirements, and Norway's display ban. The WTO-consistency of regulatory restrictions on tobacco flavoring provides an informative case study of the relationship between tobacco control and international economic law. The WTO's General Agreement on Tariffs and Trade 1994 and Agreement on Technical Barriers to Trade grant WTO Members significant flexibility in implementing genuine health measures including these kinds of restrictions. Nevertheless, to ensure WTO-consistency, tobacco flavoring measures must be carefully designed to achieve their health objectives based on available scientific and empirical evidence, avoiding unnecessary discrimination against or between imported tobacco products and unjustified barriers to international trade. Exemptions for additives that cause direct or indirect harm by masking tobacco harshness, attracting certain groups of consumers such as young people, or increasing the toxicity or addictiveness of tobacco products, are likely to undermine a Member's health goals and in turn its claim of WTO-consistency.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.119
GPT teacher head0.308
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2011
Admission routes1
Has abstractyes

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