The Powers, Duties, and Rights of International Arbitrators
Bibliographic record
Abstract
The multi-faceted role of arbitrators is complex and protean. While there is consensus on the fact that the nature of the international arbitrator’s role entails according the arbitrator wide-ranging powers and that the arbitrator also undertakes a panoply of obligations, the scope of these powers and duties is not always well defined.Views about the nature and scope of these powers and duties might diverge depending on whether arbitrators are seen as service providers, justice purveyors, or both. Following a brief overview of this core question, the contribution proceeds to identify the sources of an arbitrator’s powers. Next, the most important duties of international arbitrators, including those pertaining to ethical obligations, the need to ensure due process, the necessity to apply the proper law, the duty to provide a reasoned award, and several others are explored. This contribution also highlights the most important rights of international arbitrators, such as the right to receive good faith cooperation from the parties, as well as the rights to remuneration and immunity, amongst others. Finally, we make some observations on ways in which the rights and duties entailed by the complex mandate of arbitrators can be reconciled in the event of conflict.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".