Bibliographic record
Abstract
The court of arbitration for sport is currently one of the main actors in the world of international sports. The court, established in 1984 by Juan Antonio Samaranch; the former president of the international Olympic committee, tries to settle the disputes arising in international sports in a specialized and efficient way through taking into account both rights and obligations of athletes and sports bodies. One of the most important success factors of the court is its procedural rules and regulations. These rules of the court are inserted in the code of arbitration for sport. The code created by the International Council of Arbitration for Sport tries to settle the sport related disputes in the best possible way to meet rights of the parties. In this procedure that is revised several times, core and fundamental legal principles such as process and procedural fairness are considered. Considering the significance of procedural rules in providing justice for parties in a dispute, this study is aimed in studying the different aspects of procedural rules of the court of arbitration for sports.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.030 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".