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Record W4403432599 · doi:10.54648/gtcj2024079

Article: The Contribution of the Canadian-European Partnership to the Integration of Sustainable Development Issues into the Multilateral Trading System

2024· article· en· W4403432599 on OpenAlexaboutno aff
Antoine Comont

Bibliographic record

VenueGlobal Trade and Customs Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipSustainable developmentInternational tradePolitical scienceRegional scienceBusinessGeographyLaw

Abstract

fetched live from OpenAlex

In their influential roles within the World Trade Organization (WTO), Canada and the European Union (EU) demonstrate a strong commitment to sustainable development and multilateralism, navigating challenges and opportunities. Plurilateral negotiations, particularly the Joint Statement Initiatives (JSI), underscore their dedication to addressing issues like services regulation and fostering inclusive trade. The institutional framework of their Comprehensive Economic and Trade Agreement (CETA) provides a structured mechanism, with specialized committees like the one on Trade and Sustainable Development, to ensure transparency, regulatory cooperation, and trade promotion aligned with sustainable development goals. However, challenges persist in achieving consensus on binding commitments. The temptation of unilateralism, exemplified by the EU’s carbon border adjustment mechanism (CBAM), raises concerns about its compatibility with WTO principles and the potential prioritization of sustainability over economic development. Despite these challenges, Canada and the EU continue to champion sustainable development in various international forums, emphasizing the importance of the WTO as the primary platform for reconciling trade and sustainability. The forthcoming thirteenth WTO Ministerial Conference in 2024 presents a crucial opportunity for these leaders to demonstrate a significant commitment to a balanced approach between economic development and sustainability in international trade.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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.

Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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