The European Communities Biotech Dispute: How the WTO Fails to Consider Cultural Factors in the Genetically Modified Food Debate
Notice bibliographique
Résumé
I. INTRODUCTION Tell me what kind of food you eat, and I will tell you what kind of man you are. ' In 2003, the United States, joined by Canada and Argentina (the Complaining Parties), brought a claim to the World Trade Organization (WTO) that the European Communities' (EC) strict regulation of genetically modified (GM) foods violated trade obligations.2 In 2006, the WTO dispute settlement body agreed with the Complaining Parties that the EC had not adequately justified its restrictions on genetically modified foods.1 However, unlike many international matters before the WTO,4 decisions about food and food choice cannot easily be resolved, and it is likely that this dispute will not end with this decision.5 Food has complex social and cultural meanings integral to the way legal decisions about food are made and enforced. After all, we are what we eat. This Comment contends that the decision in EC Biotech fails to account for the cultural significance of food and, therefore, will not resolve the controversy over GM food regulation. It identifies cultural factors that will make it difficult for the EC to comply with the WTO ruling. The Comment then proposes mandatory labeling as an alternative solution advancing free market principles while respecting cultural considerations. Part II provides an overview of GM foods, including potential risks and benefits. Part III lays out the respective United States and European Union regulation of GM foods, outlining the historical development of GM foods and the attitudes underlying the differences in regulation. Part IV discusses the EC Biotech decision. In particular, it looks at the Panel finding that the EC violated the WTO Agreement on the Application of Sanitary and Phytosanitary Measures (SPS Agreement)6 and at the EC's claim that it should be allowed to impose stricter measures on the regulation of GM foods. Part V evaluates the adequacy of the WTO's response to European arguments for stricter regulation of GM foods and considers the likelihood that the decision will resolve the dispute between the United States and the European Union. The section assesses the Report in light of the underlying cultural aspects of European regulation, and it contends that the WTO fails to adequately account for cultural values and therefore will have difficulty implementing the decision. The Comment concludes by defending labeling as an alternative resolution-one that better accounts for cultural values while encouraging United States' access to the European Market. II. INTRODUCTION TO GENETICALLY MODIFIED FOODS A. Genetically Modified Foods In order to understand the controversy, it is important to know how GM foods are created and why Europeans might be wary of them. Genetically modified foods are derived from organisms whose DNA has been altered through the insertion of genes from one organism into a second organism in order to suppress, encourage, or otherwise alter particular genetic traits in the second organism.7 One example of a genetic modification is the creation of an herbicide-resistant cotton plant-a gene increasing herbicide resistance is isolated in one plant, removed, replicated, and then reinserted into the DNA of the target plant. The process often uses bacteria to carry the selected DNA and antibiotic marker genes to identify altered cells. Genes can be transferred between plants, animals, or microorganisms-both plants and animals have been genetically modified. GM food comes primarily from four crops that dominate GM agriculture: soybeans, maize (corn), cotton, and canola.10 Within commercial GM crops, the predominant modification is herbicide resistance, followed by insect resistance. Other modifications include viral and fungal resistance, improved ability to resist environmental stresses, acceleration of growth time, and reduction in the maturation time of trees.12 The above traits affect plant growth, or input, characteristics. …
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».