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Record W2122954362 · doi:10.1017/s0020818314000241

Who Gets to Be In the Room? Manipulating Participation in WTO Disputes

2014· article· en· W2122954362 on OpenAlex

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.

Bibliographic record

VenueInternational Organization · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsPlaintiffSettlement (finance)Third partyPolitical scienceLawConstruct (python library)Dispute resolutionBusinessLaw and economicsEconomics

Abstract

fetched live from OpenAlex

Abstract Third parties complicate World Trade Organization (WTO) dispute settlement by adding voices and issues to a dispute. However, complainants can limit third parties by filing cases under Article XXIII of the General Agreement on Tariffs and Trade (GATT), rather than Article XXII. We argue that third parties create “insurance” by lowering the benefit of winning and the cost of losing a dispute. We construct a formal model in which third parties make settlement less likely. The weaker the complainant's case, the more likely the complainant is to promote third party participation and to settle. Article XXII cases are therefore more likely to settle, controlling for the realized number of third parties, and a complainant who files under Article XXIII is more likely to win a ruling and less likely to see that ruling appealed by the defendant. We provide empirical support using WTO disputes from 1995 to 2011.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.322
Teacher spread0.298 · 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