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Record W4210798814 · doi:10.32782/lexsportiva/2021.1.6

SANCTIONS IN SPORT: INTERNATIONAL-LEGAL EXPERIENCE

2021· article· en· W4210798814 on OpenAlexaboutno aff
Maxym Tkalych, Yuliia Tolmachevska

Bibliographic record

VenueLex Sportiva · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsLawPolitical scienceEconomic JusticeSubject (documents)ArbitrationJurisprudenceOrder (exchange)LegislationLaw and economicsSociologyBusiness

Abstract

fetched live from OpenAlex

Bringing to justice for violations in the field of sports is one of the most controversial issues in modern sports. This fact is connected, first of all, with the existence of the principle of sports autonomy. In particular, in the field of sports there is its own system of arbitration courts, which apply in their activities mainly quasi-legal acts issued by the governing sports bodies. In addition, the field of sports claims to be completely independent of the governing influence of government agencies on any relations in this field. Some researchers, however, believe that sport has de facto formed its own specific legal order. Accordingly, it is sometimes quite difficult to establish the boundaries of those relations that are subject to self-regulation and those that should be regulated by law. Issues of bringing to justice for sports offenses belong to this problem category. The authors of the article explored a particular aspect of legal liability in sports, namely - the problem of sanctions. At the same time, the foreign experience of applying sanctions for violations in the field of sports was carefully analyzed, as the domestic practice of applying sanctions for offenses in sports has not yet been fully formed. Moreover, the domestic Supreme Court takes the position that all disputes in the field of sports should be considered by the governing sports bodies. At the same time, in foreign countries, general courts often accept similar cases. Thus, a careful analysis of the jurisprudence of Canada and the Czech Republic led to the conclusion that even despite the risky nature of sports in itself, there are mechanisms to bring violators to justice, in particular - in terms of compensation. At the same time, the subjective side of the offense in the field of sports is subject to legal analysis in a slightly different way than in all other cases. In particular, a person will be found guilty of committing an offense only if there is intent to violate the rules of sport and commit an offense.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.342
Teacher spread0.321 · 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.

Study designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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