Notice bibliographique
Résumé
According to Article 7 and Annex B of the World Trade Organization(WTO) Agreement on the Application of Sanitary and Phytosanitary(SPS) Measures, WTO members are required to notify their newly established or amended SPS measures that might affect international trade. This study analyzed SPS notifications from 1995 to 2008 to identify international trends for food safety measures. The notifications were collected from the SPS information management system and the official document distribution system of WTO. The 153 WTO members represented 37 developed countries, 84 developing countries and 32 least developed countries. The number of overall notifications was 9,820. The annual notifications increased from 198 in 1995 to 1,264 in 2008. The monthly average notifications were from 44.8 in December to 69.5 in June; however, there were no statistical differences among them. The six leading Members in terms of notification submissions were United States(U.S.), Brazil, New Zealand, Canada, European Community and Korea. Among the regular and emergency notifications, 62.7% notifications were concerned with food safety, followed by animal and plant protections. Among animal protection notifications, 54.8% were emergency situations. Of the 4,821 food safety notifications, 60.4% were from developed countries, and 39.3% were from developing countries. Measures concerning pesticide residues and risk assessments were mainly from developed countries. In contrast, 77.5% of the measures concerning zoonoses were from developing countries. However considering the numbers of developing and developed countries, the average number of measures for each country was similar. Food safety measures were mainly involved pesticide residues followed by food additives, zoonoses, new regulations, labeling. As the overall notifications, zoonosis measures were mainly emergency notifications. Measures concerning pesticide residues, food additives, zoonoses, new regulations, veterinary drugs, and labeling were submitted most often by the U.S., Korea, Albania, U.S., Australia, and U.S., respectively. Identifying the exact trends of food safety measures was complicated by a number of factors. However, WTO notifications might be useful tool in providing a general view of international trends.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,024 |
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 source (Gemma direct ou Codex distillé), 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 ».