Reforming Dispute Settlement in Trade: The Contribution of Mega-Regionals
Bibliographic record
Abstract
Dispute settlement rules and procedures are an important component of so-called mega-regional trade agreements. Reacting to recurrent criticism of the legitimacy of dispute settlement in international economic law, their characteristics and innovative features are driven by two partly competing and overlapping concerns. First, to decrease the autonomy of dispute settlement mechanisms and their potential to develop into independent institutions of international public authority. Second, to minimise friction with existing multilateral governance mechanisms, particularly under the World Trade Organization (WTO). Given the economic and political weight of the parties involved, the means used in the EU-Canada Comprehensive Economic Trade Agreement and the (Comprehensive and Progressive Agreement for) Trans-Pacific Partnership to address these concerns are likely to influence the development of dispute settlement provisions in future regional trade agreements, as well as negotiations to reform WTO dispute settlement.
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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 | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".