Study on the Notifications of WTO/SPS - Focused on Food Safety Measures -
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".