The Non-discrimination and Necessity Analysis of Animal Welfare Measures under the WTO Agreement with the Case of EU Seal Ban Dispute Brought by Canada
Bibliographic record
Abstract
The Dispute Settlement Body established a panel to solve the dispute of EU's Seal Ban in 2012,which was brought by Canada.The Indigenous People Exemption of the Seal Ban responds to EU' Member state's obligation of protecting indigenous people under the international convention,and the exemption requirements are reasonable,which shall be in compliance with the non-discrimination principle.But the Marine Animal Administration Exemption requires that any products satisfying the exemption clause should be hunted for non-commercial purposes,which lays a heavy regulatory burden on Canada,indicating that it might violate Article 2.1 of TBT.Furthermore,the Seal Ban forbids the imports and sales of seal products no matter the seal is harvested humanly or inhumanly,which might be deemed to be unnecessary by the panel and the appellate body.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".