Closing the deal: What role for the provinces in the final stages of the CETA negotiations?
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.022 | 0.012 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".