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Record W3139155286 · doi:10.1093/jiplp/jpaa183

The Australian tobacco plain packaging legislation: a case study on intellectual property enforcement and policy intervention to promote public health

2020· article· en· W3139155286 on OpenAlexaboutno aff
Olasupo Owoeye, Oladapo Fabusuyi, Mathews Nkhoma

Bibliographic record

VenueJournal of Intellectual Property Law & Practice · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementIntellectual propertyBusinessLegislationPublic healthIntervention (counseling)Tobacco controlState (computer science)Tobacco industryStandardizationSovereigntyPackaging and labelingEnvironmental healthPolitical scienceMedicineLawMarketing

Abstract

fetched live from OpenAlex

In August 2018, the World Trade Organization (WTO) Panel adopted its report on the Australian tobacco plain packaging measures.1 The decision has been hailed as a reaffirmation of a sovereign state’s right to regulate in international economic law and a clear check on the likely abuse of investor–state dispute mechanism.2 Tobacco products have been shown to have severely adverse health consequences. The Canadian Medical Association in particular issued its first public warning on the health hazards associated with smoking in 1954.3 The call for plain packaging or standardization of tobacco packaging requirements dates back to 1986 when the Canadian Medical Association passed a resolution to the effect that tobacco products should be released into the market in plain packages with very visible warnings on harmful effects of tobacco without any extraneous information being allowed on the packages.4 Regulating the use of tobacco products is a very important public health objective that has significant human rights implications especially in relation to the protection of public health.5

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0270.012
Scholarly communication0.0080.005
Open science0.0030.009
Research integrity0.0150.012
Insufficient payload (model declined to judge)0.0050.000

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 head0.134
GPT teacher head0.370
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Intellectual Property Law & PracticeSame topicGlobal Public Health Policies and EpidemiologyFrench-language works237,207