CETA Implementation and Implications
Bibliographic record
Abstract
The Canada–European Union Comprehensive Economic and Trade Agreement (CETA) is hailed as the gold standard for trade agreements. It addresses tariffs on traded goods, favoured status for EU and Canadian exporters, trade in services, and technical barriers to trade, while also seeking coordination between government agencies to promote regulatory cooperation, harmonization, and mutual recognition of standards. As the world retreats towards populism and protectionism, CETA Implementation and Implications provides a vital examination of this contemporary economic collaboration between developed states, which serves as a model for other progressive regional trade agreements. This book offers the first in-depth, comprehensive assessment of CETA, covering many of its most important elements and exploring its obstacles, accomplishments, and early effects. Based on the European Commission-funded Erasmus+ Jean Monnet Project on CETA Implementation and Implications, which linked scholars and stakeholders across Europe and North America to analyze and evaluate the implementation and impacts of the agreement, this book covers regulation, procurement, the environment, the innovative investment disputes system, labour mobility and labour relations, bilateral governance instruments, and the implications for EU trade policy of CETA’s contested ratification. Uniquely interdisciplinary and featuring contributors from around the world, CETA Implementation and Implications provides a nuanced and balanced assessment of this landmark trade agreement and its effects on regional and global trade in turbulent times.
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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 | 0.022 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".