Addressing Domestic Regulation Affecting Trade in Services in CETA, CPTPP, and USMCA: Revolution or Timid Steps?
Bibliographic record
Abstract
Abstract The number of international agreements purporting to liberalise trade, mainly focused on reducing protectionist measures through the imposition of general principles, has increased greatly over the last 25 years. More recently, the United States and the European Union (EU) concluded comprehensive agreements covering trade in goods, trade in services, and foreign investment. This article inquires whether, and the extent to which, such agreements represent a departure from previous practice. It focuses on (a) the instruments employed to address domestic regulation affecting trade in services and (b) three specific agreements concluded between 2016 and 2018: the EU-Canada Comprehensive Economic and Trade Agreement, the Comprehensive and Progressive Agreement for Trans-Pacific Partnership, and the United States-Mexico-Canada Agreement. While these recent Preferential Trade Agreements put forward novel approaches to regulatory diversity affecting trade in services, it is too early to ascertain whether these will have any ground-breaking impact in terms of services trade liberalisation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".