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Record W2465851521 · doi:10.16997/eslj.98

Scope of Review, Standard of Review and Authority to Grant a Remedy: An Analysis of Three Policy-Based Rules in a Sport-Specific Arbitration Process

2016· article· en· W2465851521 on OpenAlexaff
Hilary A. Findlay

Bibliographic record

VenueEntertainment and Sports Law Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsBrock University
Fundersnot available
KeywordsArbitrationScope (computer science)PremiseProcess (computing)Function (biology)Corporate governanceLaw and economicsBusinessLawPolitical scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

With an increasing number of sport disputes being heard by way of arbitration, some have called it a ‘growth industry’. Much has been written on the relative benefits of sport-specific arbitration processes as compared to the litigation process but few contributions have probed more deeply to address the function and design of such a process. The purpose of this paper is to examine how certain prescribed rules of an arbitration process can serve as instruments of sport policy.Three rules of the arbitration process, each of which goes beyond a basic rule of procedure operation and has important policy implications for the sport organisation and sport in general, are discussed. The three rules relate to the proper scope of review of the adjudicator, the standard of review to be used in defining an error and the scope of authority of the adjudicator in crafting a remedy. Each of the rules can affect not just the outcome of a decision, but also the role decision-makers play within the sport organisation.The underlying premise of this paper is the view that the arbitration process and, more specifically, the rules of arbitration should be designed to support and to facilitate the desired function of independent sport arbitration. What that function is must be considered in light of the sport organisation’s own governance and policy-making role. Policy-based rules of procedure such as the three discussed here, can either support that role or make incursions into the independent functioning of the sport organisation.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.332
Teacher spread0.310 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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