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Record W2201887201 · doi:10.3406/rjenv.2010.5277

L’OMC et les risques sanitaires : réflexions autour du rapport de l’organe d’appel dans l’affaire « Hormones II »

2010· article· fr· W2201887201 on OpenAlexaboutno aff
Ève Truilhé-Marengo

Bibliographic record

VenueRevue Juridique de l Environnement · 2010
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Le 16 octobre 2008, l’Organe d’appel de l’OMC a rendu son rapport dans le litige opposant les Etats-Unis et le Canada d’un côté et la Communauté européenne de l’autre, concernant les suites du fameux contentieux sur la viande aux hormones. Si ce rapport ne tranche pas l’affaire au fond, il aborde de front la question du mandat des groupes spéciaux de l’OMC face aux éléments scientifiques contenus dans les litiges dont ils sont saisis : recours aux experts, traitement des informations scientifiques, notion d’incertitude scientifique font l’objet d’une mise au point significative par l’Organe d’appel. A travers une condamnation assez ferme du raisonnement développé en première instance, celui-ci réaffirme par ailleurs le libre choix du niveau de protection approprié pour chacun des Etats parties.

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)0.013
metaresearch head score (Gemma)0.014
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 score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.026
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.244
Teacher spread0.225 · 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
Published2010
Admission routes1
Has abstractyes

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