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Record W3121584136

EC – Seal Products: Seals and Sensibilities (TBT Aspects of the Panel and Appellate Body Reports)

2014· preprint· en· W3121584136 on OpenAlexaffabout
Philip I. Levy, Donald H. Regan

Bibliographic record

VenueCadmus - EUI Research Repository (European University Institute) · 2014
Typepreprint
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsOutrageSeal (emblem)European unionInternational tradeTechnical barriers to tradeBusinessPolitical scienceLawTrade barrierGeography
DOInot available

Abstract

fetched live from OpenAlex

The EC-Seals case stemmed from complaints by Canada and Norway against European Union regulations that effectively banned the importation and marketing of seal products from those countries. The EU said it had responded to European moral outrage at the killing of seals. Canada and Norway challenged the regime under various provisions of the Technical Barriers to Trade (TBT) Agreement and the GATT. This analysis looks primarily at the WTO panel decision and considers issues such as whether there is any bright line to be drawn between legitimate and illegitimate purposes in regulation and the proper legal meaning of a “technical regulation.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0100.003
Open science0.0020.002
Research integrity0.0260.007
Insufficient payload (model declined to judge)0.0170.006

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.

Opus teacher head0.055
GPT teacher head0.282
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes2
Has abstractyes

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