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Record W2201932272 · doi:10.7202/1069382ar

THE TRANSATLANTIC TRADE DISPUTE CONCERNING GENETICALLY MODIFIED ORGANISMS – WTO-CONSISTENCY OF THE EC LABELLING SCHEME

2020· article· en· W2201932272 on OpenAlexvenueno aff
Christiane Hoehn

Bibliographic record

VenueRevue québécoise de droit international · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsLabellingInternational tradeConsistency (knowledge bases)Conformity assessmentTechnical barriers to tradeBusinessInternational economicsEuropean unionDumpingMarket accessGenetically modified organismTrade barrierEconomicsBiologyComputer scienceAgriculture

Abstract

fetched live from OpenAlex

This article examines the WTO-consistency of the EU labelling scheme on Genetically Modified Organisms (GMO). This regulation, requiring the labelling of authorised GMO food and feed placed on the market in the EU, presents serious economical as well as practical implications for US producers. At the heart of the debate are the different risk perceptions as well as regulatory approaches on both sides of the Atlantic. After a brief presentation of the European labelling scheme, the author examines its compliance with several agreements within the WTO international trading regime, namely the Sanitary and Phytosanitary Standards Agreement (SPS), the Technical Barriers in Trade Agreements (TBT) as well as basic GATT rules. Her analysis brings her to the conclusion that despite the non-application of the SPS agreement, the EU labelling scheme is in conformity of both the TBT and the basic GATT rules. The overall aim of the article is not only to present a legal analysis of one of the issues on the front burner of the global trade talks, but also to underline the difficulty in drawing the line between international free trade and domestic regulation expressing other values and objectives that affect trade as a non-tariff barrier.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevue québécoise de droit internationalSame topicWorld Trade Organization LawFrench-language works237,207