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The Trade Policy Review Mechanism

2018· book· en· W2800827999 on OpenAlexaboutno aff
Mathias Kende

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Political scienceOrder (exchange)NegotiationMechanism (biology)HistoryLawBusiness

Abstract

fetched live from OpenAlex

This book is the first academic monograph to provide a critical analysis of the WTO’s Trade Policy Review Mechanism (TPRM). In order to do so, it first looks at the TPRM’s historical development into the WTO’s mechanism for peer review. In this context, the book provides a historical analysis of the concept of peer review and distils a peer review mechanism’s theoretical core elements in terms of objectives, structure and participants. It then applies these elements to the five defining institutional phases of the TPRM (Article X of the GATT (1947), the Tokyo Round negotiations resulting in the Understanding Regarding Notification, Consultation, Dispute Settlement and Surveillance (1979), the report ‘<italic>Trade Policies for a Better Future: Proposals for Action</italic>’ (1985), the Functioning of the GATT System (FOGS) negotiations (1986), and the provisional adaption of the TPRM during the Montreal mid-term review of the Uruguay Round (December 1988)). The book then measures to which degree the TPRM has been performing well as the WTO’s mechanism for peer review. In order to do so, it follows the first five institutionally mandated appraisals of the TPRM (1999, 2005, 2008, 2011, and 2013). The book concludes that the TPRM has functioned well but that its performance could and should be improved in order to remain politically relevant. In order to do so, it provides some recommendations which are tested against the background of the last (sixth) appraisal which precede the upcoming Eleventh WTO Ministerial Conference in Buenos Aires (December 2017).

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.765
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.250
Teacher spread0.230 · 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
GenreOther

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

Citations32
Published2018
Admission routes1
Has abstractyes

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