Public Policy as Ground for Refusal of International Arbitral Awards - A Comparison Between Different Judicial Practices
Bibliographic record
Abstract
The New York Convention is considered as the main pillar of the international arbitration and the most effective transnational legal instrument in international trade. But the most important challenge that the Convention is facing is a uniform application by the Member States. Article V of the Convention containing several grounds for refusal of recognition and enforcement of arbitral awards, could be deemed as an obstacle to achieve this goal. The most controversial ground is the public policy that affects the uniform application of the Convention and the predictability of the arbitration process. Then the lack of a definition for public policy has opened the door for different interpretations in different countries. The questions that the paper at hand deals with are the following: What are the consequences for the lack of a definition for the public policy ground in the New York Convention? Is it necessary to revise the New York Convention to address this issue? In order to answer these questions, the paper at hand will present some court decisions in order to elaborate the mentioned challenge and find an appropriate solution.
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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 | 0.047 | 0.080 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.035 | 0.017 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".