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Record W4246379490 · doi:10.1093/yiel/yvu056

21. World Trade Organization (WTO)

2014· article· en· W4246379490 on OpenAlexaboutno aff
Seung-hee Oh

Bibliographic record

VenueYearbook of International Environmental Law · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeWorld tradeTariffIntellectual propertyDutyBusinessSovereigntyInternational trade lawInternational economicsEconomicsPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Since non-tariff measures having a negative impact on trade have been continually increased, a lot of environmental measures being developed around the world have been questioned about their legitimacy under the WTO rules, and, indeed, they have been examined at the WTO Dispute Settlement Bodies about whether they cause unnecessary obstacles to free trade. Clean energy policies, in particular, in light of the growing global demand for green energy, and the burgeoning questions of how these relate to current and future trade rules, have been examined including in the recent WTO final decision in the Canada renewable energy case, which has generated international attention for government support of the energy sector. Following this dispute, WTO Director-General Pascal Lamy even called for increased dialogue at the global trade body on the relationship between the two subjects. The tobacco plain packaging issue also has been brought to the attention of the world since 2012. Indonesia became the fifth country to file a WTO case against Australia’s tobacco plain packaging last year. Although these complaints are at varying stages, the decision of the WTO will have significant implications for reconciling the conflicts between the sovereign right to protect public health and the duty to protect intellectual property rights. Lastly, the WTO set up a panel on Russia’s vehicle recycling fee, which was introduced in 2012, a week after Russia lowered import tariffs on vehicles as part of its obligations to join the WTO. The issue of how to implement the green tax is expected to be highly relevant in this case.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.995

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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 designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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