Consolidating International Investment Law: The Mega-Regionals as a Pathway towards Multilateral Rules
Bibliographic record
Abstract
Abstract Pessimism abounds in international economic law. The World Trade Organization (WTO) faces an uncertain future following its Ministerial Conference in Nairobi in 2015. International investment law is under attack in countries around the world, while mega-regional agreements such as the Trans-Pacific Partnership and the Trans-Atlantic Trade and Investment Partnership are beset by world events, from the United States’ federal election to the unexpected Brexit outcome. Yet the appetite of numerous States to continue forging plurilateral trade and investment deals provides some cause for hope. Viewed alongside other institutional developments including consensus-building work at the United Nations Conference on Trade and Development and the United Nations Commission on International Trade Law, the potential arguably now exists for credible movement towards multilateral rules in investment law. While the WTO's current negotiating stalemate highlights the difficulties in reaching agreement among 164 Members, international trade law offers lessons for working towards multilateralism in the international investment law field. Alongside informal discussions about a world investment court, mega-regionals provide a vehicle for future multilateral investment rules, particularly through the Comprehensive Economic and Trade Agreement between Canada and the European Union, and the Regional Comprehensive Economic Partnership currently under negotiation in Asia.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".