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PMI’s proxy trade dispute with Thailand

2019· article· en· W2995285513 on OpenAlexaff
Ross MacKenzie, Kelley Lee

Bibliographic record

VenueTobacco Control · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComplaintProtectionismAccounts payableBusinessInternational tradeValuation (finance)Tobacco industryInternational economicsPaymentLawEconomicsAccountingPolitical scienceFinance

Abstract

fetched live from OpenAlex

In July 2019, a World Trade Organization (WTO) compliance panel found that Thailand had failed to implement previous WTO recommendations and rulings relating to its treatment of cigarettes imported from the Philippines. The panel ruled that Thailand had not complied with the WTO Customs Valuation Agreement which covers imported goods between WTO members. According to the Philippines, Thailand has continued to place higher valuations on cigarettes imported by Philip Morris Thailand (PMT) from Philip Morris’ Philippines subsidiary than permitted by the WTO method of ‘transaction value’, the price actually paid or payable for goods when sold for export.1 The dispute began in 2008 when the Philippines submitted its initial complaint in response to Thai claims that PMT under-reported the value of imported cigarettes between 2003 and 2006 in order to pay less tax than Thailand argued was applicable.2 The Philippines countered that Thailand’s valuation process was discriminatory, and protectionist of the state-run Thailand Tobacco Monopoly3 (restructured and renamed the Tobacco Authority of Thailand (TOAT) in 2018).4 Three subsequent WTO panel decisions and related appellate rulings have gone against Thailand,5 6 but the …

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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