Fragmentation in international trade law: insights from the global investment regime
Bibliographic record
Abstract
Abstract With World Trade Organization negotiations stagnant, and preferential trade agreements (PTAs) rapidly proliferating, international trade relations are shifting markedly toward bilateralism. The resulting fragmentation in the international trade regime poses serious risks to economic welfare and the coherence of international trade law. Similar challenges have been faced in the international investment regime, which is comprised of a highly fragmented network of bilateral investment treaties (BITs). However, scholars have identified several mechanisms that promote harmonization in the international investment regime. Among these are cross-treaty interpretation in dispute settlement and the inclusion of most-favoured nation (MFN) clauses in BITs. This paper assesses the scope for these two mechanisms to emerge in the international trade regime by comparing the legal framework, institutional dynamics, and political economy of the trade and investment regimes. The analysis suggests that cross-treaty interpretation is likely to emerge in the trade regime as PTA dispute settlement activity increases and that greater use of MFN clauses in PTAs is a viable possibility. These developments would mitigate the effects of fragmentation and advance harmonization in the international trade regime.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".