The Legitimacy of Exceptions Containing Exceptions in WTO Law: Some Thoughts on EC - Seal Products
Bibliographic record
Abstract
1. EC – Seal Products (WT/DS400 & WT/DS401) is a case that has attracted probably the greatest public attention in recent years for the animal-welfare side of its story and the involvement of people like the Inuit, who are most remote from international trade. Jurisprudentially, it is also an interesting case. Among other things, the Panel identified and explicitly discussed a long-avoided question for the first time: Are trade-restrictive regulatory measures otherwise covered by GATT Article XX (and similar provisions in other WTO Agreements) still legitimate exceptions to WTO obligations if these regulatory measures contain exceptions of their own? In EC – Seal Products, for the first time, the Panel and the Appellate Body (AB) provided a clear answer: Such measures could still qualify as exceptions under GATT Article XX even if these measures contain their own exceptions that compromise the immediate policy objectives of the measures by simultaneously accomodating other policy objectives when these other policy objectives are acceptable in their own right.
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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 | 0.041 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.064 |
| Scholarly communication | 0.024 | 0.032 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.044 | 0.032 |
| Insufficient payload (model declined to judge) | 0.005 | 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".