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Record W2083760818 · doi:10.1177/0020702013509321

Canadian sub-federal governments and CETA: Overarching themes and future trends

2013· article· en· W2083760818 on OpenAlexaffabout
Christopher J. Kukucha

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsRatificationNegotiationRelevance (law)FederalismPolitical scienceEuropean unionCivil societyCommercial policyForeign policyInternational tradePublic administrationPoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

Canadian provinces and territories have gained increasing relevance in matters of international trade over the last several decades. The possibility of a Canada–European Union Comprehensive Economic and Trade Agreement, however, marks the first time that sub-federal governments in Canada have been directly involved in specific areas of negotiations. The significance of this development, examined in this series of policy papers, can be organized under five overarching themes: 1) the negotiation, ratification, and implementation of foreign trade agreements; 2) the need to distinguish between process activity and actual policy outcomes; 3) the ongoing relevance of Canadian federalism; 4) the impact of non-governmental actors, especially civil society; and 5) the differing interpretations of academics, practitioners, business, and societal groups.

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 score0.806
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.025
Science and technology studies0.0100.007
Scholarly communication0.0120.006
Open science0.0020.003
Research integrity0.0020.004
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 head0.005
GPT teacher head0.272
Teacher spread0.267 · 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

Citations49
Published2013
Admission routes2
Has abstractyes

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