THE TRANSATLANTIC TRADE DISPUTE CONCERNING GENETICALLY MODIFIED ORGANISMS – WTO-CONSISTENCY OF THE EC LABELLING SCHEME
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".