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Record W3125169273

Private Standards and the WTO: Reclusive No More

2016· preprint· en· W3125169273 on OpenAlexaff
Petros C. Mavroidis, Robert Wolfe

Bibliographic record

VenueRePEc: Research Papers in Economics · 2016
Typepreprint
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsQueen's University
Fundersnot available
KeywordsTransparency (behavior)EnforcementNormativeLaw and economicsOrder (exchange)Bargaining powerProduct (mathematics)BusinessInternational tradePolitical scienceEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Private standards are increasing in number, and they affect trade, but their status in the WTO remains problematic. Standards-takers are typically countries with little bargaining power, who cannot affect their terms of trade and thus, even if they possess domestic antitrust laws, will find it hard to persuade standard-setters to take account of their interests. Our concern is to bring more of these standards within the normative framework of the trade regime – that is, we worry that these private forms of social order can conflict with the fundamental norms of transparency and non-discrimination. The WTO membership has consumed itself in endless discussions regarding mundane, legalistic issues, and has not moved at all towards addressing the real concerns of developing countries. We discuss one aspect of the problem: How reclusive should the WTO allow product standards to be? We argue that the WTO should adopt a “Reference Paper” that would encourage its members to apply WTO rules for adopting those standards that already come under the aegis of the WTO to private standards. In the absence of centralized enforcement, utopia in the WTO legal paradigm, transparency disciplines imposed on standard-setters is the best the WTO could offer to those who are negatively affected by private standards.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.019
GPT teacher head0.343
Teacher spread0.324 · 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.

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

Citations6
Published2016
Admission routes1
Has abstractyes

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