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Record W4409277548 · doi:10.1017/s0922156524000505

Arrested norm development: The failure of legislative-judicial dialogue in the WTO

2025· article· en· W4409277548 on OpenAlexafffund
Nicolas Lamp

Bibliographic record

VenueLeiden Journal of International Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsQueen's University
FundersQueen's UniversityDeutsche ForschungsgemeinschaftUniversity of Ottawa
KeywordsLegislatureNorm (philosophy)Political scienceLaw and economicsLawSociology

Abstract

fetched live from OpenAlex

Abstract The WTO’s 30-year history has been marked by a well-known imbalance: while WTO Members have largely failed to negotiate new legal rules, the WTO’s dispute settlement system has been extraordinarily active. This imbalance has created the perception that WTO law is mostly developed by the WTO’s judicial organs, which has in turn sparked a backlash against the WTO’s dispute settlement system. The article explores the reasons why WTO Members have failed to do their part in shaping norm development in the WTO. The article builds on the existing explanations to provide a fuller picture of what has blocked Member-driven norm development. Specifically, it highlights the ways in which divergent views about the scope of the judicial function in the WTO have shaped the approaches of key players to legislative overruling; the negotiating principles in the WTO that legitimize demands for ‘payment’ even for interpretations that would simply restore the original bargain; and WTO Members’ desire to preserve the pragmatic and legally innocuous character of the WTO’s councils and committees. The article proposes a conceptual framework for thinking about the institutional design challenges that are at the heart of the crisis of WTO dispute settlement and situates various reform proposals within that framework. As WTO Members contemplate the revival of legislative-judicial dialogue as one of the key planks of the reform of the WTO dispute settlement system, developing a fuller understanding of why that dialogue has failed in the past is more important than ever.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.941
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations3
Published2025
Admission routes2
Has abstractyes

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