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Record W2614194518 · doi:10.54648/gtcj2017024

The Obstacles to Concluding the EU-Canada Comprehensive Economic and Trade Agreement and Lessons for the Future

2017· article· en· W2614194518 on OpenAlexaboutno aff
E. Diane White

Bibliographic record

VenueGlobal Trade and Customs Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementMember statesConvergence (economics)Member stateInternational tradeOpposition (politics)European unionTrade agreementInternational economicsBusinessDispute resolutionLaw and economicsEconomicsPolitical scienceLawFree tradeEconomic growth

Abstract

fetched live from OpenAlex

This article examines three issues arising out of the EU-Canada Comprehensive Economic and Trade Agreement and puts forward suggestions as to how they may be avoided in future EU agreements. The three issues are the participation of EU Member States as parties to such agreements (‘mixity’), the goal of regulatory convergence and the provision of an investor-state dispute resolution mechanism. The article argues that in future EU Member States should not be included as parties to trade agreements and that issues which the EU Member States do not want to allow the Union to include in such an agreement be placed in a separate mixed agreement. On regulatory convergence, it is suggested that such a goal can only realistically be pursued in multilateral agreements and that including such provisions in bilateral agreements is unrealistic and leads to unnecessary complication and opposition. Finally, the article argues that the whole issue of private enforcement of trade agreements needs to be re-thought and that the provision of favourable treatment to foreign investors only is legally problematic.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0020.000
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 head0.031
GPT teacher head0.269
Teacher spread0.237 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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