MétaCan
Menu
Back to cohort
Record W4220889505 · doi:10.1017/s1474745622000076

Counterfactuals and Contingency in WTO Dispute Settlement History

2022· article· en· W4220889505 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

VenueWorld Trade Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsTribunalPolitical scienceDispute resolutionSettlement (finance)ScholarshipLaw and economicsHindsight biasLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Abstract With the benefit of hindsight, much scholarship across political science, law, and economics has told the story of the international trade regime as if it had been pulled all along by a definite aim. By contrast, this article emphasizes the contingent aspects of the trade regime's development, looking especially to its dispute settlement mechanism. The very creation of the Appellate Body had by no means a certain outcome, and once created, the tribunal's evolution was largely unanticipated by states. An often-overlooked actor played a key role in that development: the WTO Secretariat. Drawing on recent findings, this article lays out the full extent of the Secretariat's role in dispute settlement, which remains largely hidden from view, and deliberately so. From appointing adjudicators and managing their remuneration, to providing them with legal arguments and drafting final rulings, the Secretariat of the WTO looms larger than in any comparable tribunal. Making its influence more transparent, I argue, would go a long way to returning the system to the shape it was designed to have at its outset.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0090.000

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 head0.029
GPT teacher head0.290
Teacher spread0.262 · 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