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Record W3157300393 · doi:10.1177/00208817211005625

Brexit and Canada: Stopgap Solutions for the EU–Canada Comprehensive Economic and Trade Agreement (CETA) or a New Beginning?

2021· article· en· W3157300393 on OpenAlexaffabout
Nanette Neuwahl

Bibliographic record

VenueInternational Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBrexitInternational tradeInternational economicsLegislationPolitical scienceEconomicsEuropean unionLaw

Abstract

fetched live from OpenAlex

This article investigates how Canada’s trade with the EU-27 and the UK might be affected by Brexit. As the transition period foreseen in the 2019 UK Withdrawal Agreement has ended, the EU and the UK are no longer one customs area. The EU–Canada Comprehensive Economic and Trade Agreement (CETA), like other EU agreements, has ceased to apply to the UK. Henceforth, the policies and legislation of the UK and the EU-27 will invariably diverge. Taking into account both the EU–UK Trade and Cooperation Agreement as well as the Canada UK Trade Continuity Agreement concluded in late-2020, the article shows that the agreements reached, while providing immediate stopgaps for some of the fallout of Brexit, also represent potential for a new departure.

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)0.006
metaresearch head score (Gemma)0.014
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: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.582

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0140.012
Scholarly communication0.0180.008
Open science0.0020.007
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0120.001

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 head0.092
GPT teacher head0.331
Teacher spread0.240 · 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
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

Citations0
Published2021
Admission routes2
Has abstractyes

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