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Record W2044808349 · doi:10.1017/s0020818310000020

The Politics of Judicial Economy at the World Trade Organization

2010· article· en· W2044808349 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 · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsVictoryPoliticsPolitical scienceAmbivalenceWorld tradeConstraint (computer-aided design)OddsPolitical economyCompliance (psychology)World economyEconomicsLaw and economicsLawInternational trade

Abstract

fetched live from OpenAlex

Abstract International institutions often moderate the legal decisions they render. World Trade Organization (WTO) panels do this by exercising judicial economy. This practice, which is evident in 41 percent of all rulings, involves the decision not to rule on some of the litigants' arguments. The constraint is that it can be appealed. We argue that panels exercise judicial economy when the wider membership is ambivalent about the future consequences of a broader ruling. This is proxied by the “mixed” (that is, nonpartisan) third-party submissions, which are informative because they are costly, jeopardizing a more decisive legal victory that would benefit these governments too. We empirically test this hypothesis, and find that mixed third-party submissions increase the odds of judicial economy by upwards of 68 percent. This suggests that panels invoke judicial economy to politically appease the wider WTO membership, and not just to gain the litigants' compliance in the case at hand.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.941
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.257
Teacher spread0.250 · 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