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Record W4412207713

(De)Legitimation at the WTO Dispute Settlement Mechanism

2016· article· en· W4412207713 on OpenAlexaff
Cosette Creamer, Zuzanna Godzimirska

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsLegitimationMechanism (biology)Settlement (finance)Political scienceLaw and economicsBusinessLawSociologyPhilosophyEpistemologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Similar to many types of legal institutions, international courts employ a wide variety of legitimation strategies in order to establish and maintain a sound basis of support among their constituents. Existing studies on the legitimacy or legitimating efforts of the World Trade Organization's (WTO) judicial bodies have relied largely on theoretical or normative priors about what makes these institutions legitimate. In contrast, this paper directly connects the study of courts' legitimating efforts with their effects by empirically mapping how the WTO Dispute Settlement Mechanism's (DSM) exercise of authority has been received by the system's primary constituents—WTO Members. Drawing on an original dataset of statements made by WTO Members within meetings of the Dispute Settlement Body from 1995-2013 and a series of interviews, this paper provides a descriptive analysis of expressed views on its exercise of authority over time and across subsets of Members. In addition, through an in-depth examination of statements on focal reports, this paper sheds new light on the sources of the DSM's legitimacy by identifying practices that contribute to reducing or enhancing it in the eyes of the primary constituents of this international institution.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5360.043

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 head0.037
GPT teacher head0.290
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueResearch at the University of Copenhagen (University of Copenhagen)Same topicWorld Trade Organization LawFrench-language works237,207