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Record W2753227440 · doi:10.5539/jpl.v10n4p156

The Procedural Rules of the Court of Arbitration for Sport

2017· article· en· W2753227440 on OpenAlexvenueno aff
Mohamad Reza Davanloo

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationLawPolitical scienceInternational courtInternational arbitrationProcedural lawProcedural justiceEconomic JusticeCompulsory arbitrationInternational lawLaw and economicsSociologyPsychologyPublic international law

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.333
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

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