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Record W2728798493 · doi:10.54648/eerr2007027

That Elusive Object of Desire: Canadian Perceptions of the European Union

2007· article· en· W2728798493 on OpenAlexaboutno aff
Osvaldo Croci, Livianna Tossutti

Bibliographic record

VenueEuropean Foreign Affairs Review · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHouse of CommonsPolitical scienceNewspaperPrincipal (computer security)PoliticsPublic opinionEuropean unionPublic administrationForeign policyPolitical economyLawSociologyInternational tradeEconomicsParliament

Abstract

fetched live from OpenAlex

The paper first gives an historical review of the evolution of the relationship between Canada and the EU. It then looks at Canadian governmental perceptions of the EU through an analysis of parliamentary debates, reports of House of Commons and Senate committees, official papers released by the ministries of Foreign Affairs and International Trade and the election platforms of five federal political parties. Finally, it examines the perceptions of the non-governmental sector, which includes an analysis of the content of three newspapers, commercial and academic public opinion polls as well as documents and press releases from Canada’s principal business and labour organizations, and the research archives of non-partisan think tanks. The picture that emerges from this review is that, in Canadian eyes, the EU is primarily an important international economic actor with large and attractive markets of which Canadian companies have yet to take full advantage. In the absence of a transatlantic free trade deal, however, it is likely that Canada, while continuing to solidify its relationship with the USA, will begin looking with more interest to Asia.

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)0.007
metaresearch head score (Gemma)0.010
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 score0.112
Threshold uncertainty score0.814

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0180.018
Scholarly communication0.0150.004
Open science0.0010.003
Research integrity0.0020.003
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 head0.027
GPT teacher head0.277
Teacher spread0.250 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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