Transparency Rules and the Mauritius Convention: A Favourable Haircut of the States Sovereignty in Investment Arbitration?
Bibliographic record
Abstract
This paper investigates whether the United Nations Commission on International Trade Law (UNCITRAL) Transparency Rules on treaty-based investor-state arbitration (Transparency Rules) increases transparency in investment arbitration fairly for all the participants. The hypothesis is that the Transparency Rules and the United Nations Convention on Transparency in Treaty-based Investor-State Arbitration (Mauritius Convention), work together as a mechanism that is more favourable for the host states than for the investor, and thereby anticipate the different roles of all participants in treaty-based arbitration. Transparency brings pressure for a level playing field among disputing parties. In Detroit International Bridge Company v Government of Canada, UNCITRAL, PCA Case 2012-25, the tribunal accepted the prevalence of the in camera obligation in the procedural rules upon a general treaty obligation, and against the state’s arguments. In Philip Morris Asia Limited v The Commonwealth of Australia, UNCITRAL, PCA Case 2012-12, the tribunal accepted Australia’s need to disclose certain information under their national laws, but to exclude confidential business information as determined by the arbitral tribunal. Other decisions exist in which tribunals decide similarly. This paper explores the actual principle of equality as applied by arbitral tribunals. Thereafter, it considers the legal nature of transparency under the Transparency Rules, standing alone and in combination with the Mauritius Convention. It concludes by determining how this discretion affects the level playing field of all the participants.
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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 | 0.017 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.014 | 0.019 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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".