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Record W2759185731 · doi:10.5278/ojs.njcl.v0i1.1984

CSR and the Law of the WTO – The Impact of Tuna Dolphin II and EC–Seal Products

2017· article· en· W2759185731 on OpenAlexaff
Carola Glinski

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsTunaCorporate social responsibilityAttributionProduction (economics)Product (mathematics)BusinessInternational lawState (computer science)LawInternational tradeObstacleLaw and economicsPolitical scienceEconomicsFisheryFish <Actinopterygii>

Abstract

fetched live from OpenAlex

This article deals with WTO law as a possible obstacle to pursue CSR policies. Drawing in particular from the reports in Tuna Dolphin II and EC – Seal Products, it discusses the three main issues within WTO law related to the hybrid character of CSR regulation between private and public and between national and international: First, the general admissibility for the importing state to address socially and/or environmentally responsible production standards abroad and thus – from its perspective – extraterritorial situations (so-called ‘non-product-related production measures’); second, the attribution of (more or less) private CSR regulation to the importing state; and third, the question whether and under which conditions private (transnational) CSR standards can be regarded as ‘international standards’ under the law of the WTO.

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)0.009
metaresearch head score (Gemma)0.011
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 score0.068
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.013
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.318
Teacher spread0.276 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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