Bibliographic record
Abstract
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 ‘Trade Policies for a Better Future: Proposals for Action’ (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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.023 | 0.015 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.036 | 0.017 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".