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Record W4324097219 · doi:10.1080/21622671.2023.2181207

Paradiplomacy and the European Union’s trade treaty negotiations: the role of Wallonia and Brussels

2023· article· en· W4324097219 on OpenAlexaff
Michel Huysseune, Stéphane Paquin

Bibliographic record

VenueTerritory Politics Governance · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsTreatyNegotiationEuropean unionPolitical scienceMember statesInternational tradeBusinessLaw

Abstract

fetched live from OpenAlex

Because of their integration in the elaboration of national positions in the European decision-making process, Belgian subnational entities have since the 1990s favoured collaborative paradiplomacy. This has been particularly the case for Wallonia and the Brussels Region since they have a stronger stake in keeping Belgium together. Cooperative paradiplomacy has therefore been their default option, only interrupted by the crisis over the signature of the Comprehensive Economic and Trade Agreement (CETA) treaty, which was refused by these two regions. This article therefore analyses the dynamics of the conflict over the signature of the CETA treaty and the specific contribution of the two regions, Wallonia and Brussels.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.015
Scholarly communication0.0180.003
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.265
Teacher spread0.251 · 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 designQualitative
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

Citations2
Published2023
Admission routes1
Has abstractyes

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