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Record W2079923853 · doi:10.1177/0020702013509319

Closing the deal: What role for the provinces in the final stages of the CETA negotiations?

2013· article· en· W2079923853 on OpenAlex
Patrick Fafard, Patrick Leblond

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNegotiationLeverage (statistics)CommitClosing (real estate)International tradeGovernment (linguistics)European unionProcess (computing)Free trade agreementBusinessPolitical scienceInternational economicsEconomicsFree tradeLawComputer science

Abstract

fetched live from OpenAlex

Why have the negotiations of a Comprehensive Economic and Trade Agreement (CETA) between Canada and the European Union taken so long? We argue that the delay is in good part the result of a weakly designed process for intergovernmental decision making: the role for provincial and territorial governments in international trade negotiations is still too limited and does not extend to final decisions about the text of any agreement. The limited role for provinces and the fact that there is no process that requires them to formally commit to an agreement leave open the real possibility that one or more provinces could choose not to fully implement any deal that is concluded. As a result, provinces possess negotiating leverage vis-à-vis Ottawa, thereby making it difficult for the federal government to agree to the trade-offs—which are of a geographical nature in CETA’s case—that are necessary for reaching a positive agreement.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.000
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 head0.016
GPT teacher head0.319
Teacher spread0.302 · 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