Bibliographic record
Abstract
International arbitration is a protocol forecasted to settle disputes in an international level.Appealing to arbitration might take place after the emergence of disagreements or while drafting a contract.Such a method of coming to terms is most frequently applied in international commercial contracts.The contract interpretation and enforcement are amongst the issues proposed in international commercial arbitration.In fact, the arbitration parties and arbitrators devise policies to control the arbitration process and it is substantially held non-adherent to the national standards meaning that arbitration has nothing to do with the domestic rules.Due to the same reason, it is evident that the governing regulations formulate the most important topic in international commercial arbitration.Arbitration has been accepted by the international commercial society for various reasons and it is becoming substituted for the state court's judicial methods in a daily increasing manner.The majority of the arbitration regulations are influenced by the UNCITRAL model law and there are also regulations not in compliance with the UNCITRAL Model Law.Iran's international commercial arbitration laws seem to have considered the UNCITRAL's Model Law as a primary source and, in the meantime, adjustments have also been brought about therein according to Iran's internal conditions.However, the success of this law can be ascertained in the course of time.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.979 | 0.976 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".