Making sense of the legal and judicial architectures of regional trade agreements worldwide
Bibliographic record
Abstract
Abstract Regional trade agreements (RTAs) constitute one of the most important elements of the international economic order. Researchers have accordingly embarked on comparative analyses of their design. Yet one fundamental question remains unanswered: how have officials in different RTAs responded to the challenge of regulatory misalignments among the member states? In this article, I turn to 10 of the most established RTAs in the world and document three types of responses. Some RTAs rely on the principle of mutual recognition or references to existing international standards; the same agreements also rely on technical dispute resolution mechanisms. Other RTAs, by contrast, make use of extensive harmonization and permanent courts charged with interpreting law. Yet a third group exhibits a hybrid design. This heterogeneity in legislative and judicial design invites explanation. I show that there is a remarkable correspondence between the legal traditions of the member states (common vs. civil law) and the design of RTAs. This correspondence undermines the claims of world polity theorists about the nature of the international order, but is consistent with other strands of sociological institutionalism and certain elements of rationalist and neoliberal institutionalism. I conclude by reflecting on the implications of different RTA designs for the regulation of everyday life in the member states, the World Trade Organization as an international regulatory body, and national sovereignty and democracy.
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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 | 0.021 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".