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Record W2079600291 · doi:10.1017/s1474745613000232

Sealing animal welfare into the GATT exceptions: the international dimension of animal welfare in WTO disputes

2013· article· en· W2079600291 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Trade Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsAnimal welfareArgument (complex analysis)WelfareCONTESTRelevance (law)Law and economicsInternational lawDimension (graph theory)EconomicsPolitical scienceInternational tradePublic economicsLawBusinessBiology

Abstract

fetched live from OpenAlex

Abstract EC–Seal Products has been characterized as a contest between local moral preferences about animal welfare, on the one hand, and global commitments to trade disciplines on the other. But that description fails to take into account the development of international legal norms concerning animal welfare and their relevance to this case, as well as to other potential disputes involving animal welfare measures that affect trade. The international dimension of animal welfare implicates two ongoing debates in international trade law: what the relationship should be between WTO law and general international law, and the extent to which ‘public morals’ under Article XX(a) of GATT can be locally defined or need to be internationally shared. This Article examines the argument that there is a general principle of international law concerning animal welfare, and analyzes the role that international norms regarding animal welfare should play in EC–Seal Products .

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.021
GPT teacher head0.300
Teacher spread0.279 · 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