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Record W4416952108 · doi:10.7202/1121449ar

No News From Geneva: The Changing Relationship of Regional Trade Agreements and the WTO

2025· article· fr· W4416952108 on OpenAlexvenueno aff
Wolfgang Alschner

Bibliographic record

VenueRevue québécoise de droit international · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Order (exchange)Argument (complex analysis)Regional tradeFree tradeWorld tradeInternational trade lawGlobalizationEnforcement

Abstract

fetched live from OpenAlex

In an article entitled “News from Geneva on RTAs and WTO-plus, WTO-More, and WTO-Minus”, published in 2009, Gabrielle Marceau analyzed the jurisdictional conflicts between Regional Trade Agreements (RTAs) and the World Trade Organization (WTO), introducing the now classic WTO-plus, WTO-more, and WTO-minus typology. At the time, she feared that the multiplication of RTAs, with their own rules and dispute settlement mechanisms, could undermine coherence and crowd out multilateral rulemaking, though she also noted their potential to serve as laboratories for future multilateralization. Today, however, in the context of a weakened WTO—paralyzed in its dispute settlement and sidelined in negotiations—RTAs function more as a safety net, replicating and reinforcing multilateral rules. The article revisits the three categories: WTO-plus provisions deepen liberalization and align with WTO goals, though they may duplicate or decentralize obligations; WTO-more provisions broaden trade agreements to cover social, environmental, and sustainability concerns, which have now moved from the margins to the core of trade policy; and WTO-minus provisions restrict existing WTO rights or obligations, posing risks to developing countries and representing an existential threat to multilateralism. The overall argument is that while the WTO’s centrality has eroded, RTAs can either stabilize and renew the global trade order through WTO-plus and WTO-more provisions or fragment it further if WTO-minus trends prevail.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0050.016
Scholarly communication0.0280.026
Open science0.0020.006
Research integrity0.0110.016
Insufficient payload (model declined to judge)0.0120.003

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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