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Record W3185392577 · doi:10.1017/s0008423921000470

Eurosphere or Anglosphere? Canadian Public Opinion on Brexit and the Future of Transatlantic Relations

2021· article· en· W3185392577 on OpenAlexafffundabout
Achim Hurrelmann, Frédéric Mérand, Stephen White

Bibliographic record

VenueCanadian Journal of Political Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversité de MontréalCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBrexitPrime ministerPolitical scienceVotingPublic opinionEuropean unionForeign policyPopulationPolitical economyEuropean integrationPublic administrationLawSociologyInternational tradeEconomicsPoliticsDemography

Abstract

fetched live from OpenAlex

Abstract Close relations with Europe, especially but not only with the United Kingdom, have long been a consensual tenet of Canadian foreign policy, which has supported European integration since the 1970s. The UK's withdrawal from the European Union threatens to upset this consensus. While Liberal Prime Minister Justin Trudeau has consistently cast Brexit in a negative light, Conservative leaders Andrew Scheer and Erin O'Toole have commented positively on the UK's leaving the EU. Did their polarized views resonate in the population? To answer this question, this article analyzes the results of an original survey of voting-age Canadians. Findings show a strong degree of correspondence between positions expressed in party discourse and preferences in the Canadian population. This raises the possibility that the difference between two models of transatlantic relations, which we call Eurosphere and Anglosphere, could emerge as a new fault line in Canadian foreign policy.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.485

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0110.009
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.280
Teacher spread0.258 · 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 designObservational
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

Citations3
Published2021
Admission routes3
Has abstractyes

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