The Effects of Arbitrator's Lack of Impartiality and Independence on the Arbitration Proceedings and the Task of Arbitrators under the UNCITRAL Model Law
Bibliographic record
Abstract
This paper aims to investigate the effect of arbitrators’ lack of impartiality or independence on the arbitration process in accordance with the Model Law. The reasons for choosing the latter is that it is the origin for most modern national arbitration laws and any amendments to it would likely to be followed by national laws. The research problem lies in the fact that the Model Law does not tackle in detail the issue of challenging arbitrators for lacking impartiality or independence. A challenge application would have an immediate effect on both the arbitration proceedings and the task of arbitrators. This study concludes that grounds for challenging arbitrators’ impartiality or independence under the Model Law are broad and general. Hence, regulating the scope, grounds and limitations related to the lack of impartiality or independence on the part of arbitrators should be addressed in depth in the Model Law to safeguard the interests of arbitration parties and therefore justice at large.
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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 | 0.070 | 0.253 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 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".