MétaCan
Menu
Back to cohort
Record W2264664405 · doi:10.1017/s1474745615000415

<i>US – COOL (Article 21.5 – Canada and Mexico)</i>, DS384/DS386

2015· article· en· W2264664405 on OpenAlexaboutno aff
Geoffrey Carlson

Bibliographic record

VenueWorld Trade Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsMeasure (data warehouse)Compliance (psychology)Political scienceLawComputer sciencePsychologyDatabase

Abstract

fetched live from OpenAlex

These compliance proceedings under Article 21.5 of the DSU concerned measures adopted by the United States to comply with the Dispute Settlement Body (DSB) recommendations and rulings in US – COOL . In US – COOL , the DSB found that a certain US country-of-origin labelling (COOL) measure regarding muscle cuts of meat (the Original COOL Measure), and the administration of that measure, were inconsistent with certain aspects of the TBT Agreement and the GATT 1994. The United States' measure taken to comply with the recommendations and rulings of the DSB consisted of an amendment to the Original COOL Measure (the 2013 Final Rule). In these compliance proceedings, the Panel and Appellate Body referred to the 2013 Final Rule, together with the Original COOL Measure, as the Amended COOL Measure. The Amended COOL Measure was the focus of these compliance proceedings.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.779

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueWorld Trade ReviewSame topicWorld Trade Organization LawFrench-language works237,207