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Record W3011635030 · doi:10.14330/cwr.2020.6.1.06

China’s Evolving Role in Developing the WTO Dispute Settlement Rules

2020· article· en· W3011635030 on OpenAlex
Ximei Wu, Sadiya S. Silvee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChina and WTO Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of Calgary
FundersMcGill University
KeywordsChinaSettlement (finance)International tradePolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

Since its accession to the WTO in 2001, China has been involved in 21 cases as complainant, 44 as respondent, and 179 as a third party. However, China-related cases have not overburdened the WTO dispute settlement system. Instead, China has assisted in the development of international trade law through the creative interpretations of different provisions achieved in the WTO dispute settlement proceedings. This article seeks to provide an overview of China's participation in the WTO dispute settlement mechanism and contribution to the rules over the past decade. In doing so, the article not only highlights the jurisprudential and doctrinal contributions of some of the critical disputes, but also examines the role of various interest groups and stakeholders in shaping China's dispute settlement activity. Overall, the article provides an overview of China's WTO dispute settlement activities and its role in assisting the development of international trade law.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score0.296

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.285
Teacher spread0.265 · 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