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Record W2790460582

Sport-Specific Arbitration in Canada: A Qualitative Investigation of Four Athletes' Perceptions of the Fairness of the Process

2011· dissertation· en· W2790460582 on OpenAlexaboutno aff
Peter C. Gardner

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationAthletesPerceptionQualitative researchPsychologyProcess (computing)Political scienceApplied psychologyPublic relationsSociologyMedicineLawComputer sciencePhysical therapySocial science
DOInot available

Abstract

fetched live from OpenAlex

This thesis explored Canadian high performance Athletes' perceptions of the fairness of the SDRCC sport-specific arbitral process. Leventhal’s (1980) model of procedural justice judgment was found to be an effective tool for exploring Athletes’ perceptions of the fairness of the process. Five of his six procedural justice antecedents: consistency, bias suppression, accuracy of information, representativeness, and ethicality influenced the Athletes’ perceptions of the fairness of the process. Emergent data also revealed that the Athletes’ perceptions of fairness were also influenced by three contextual factors and an additional antecedent of procedural justice. Efficiency of the process, inherent power imbalance between Athletes and NSOs, and the measurable effect of the process on personal and professional relationships differentiate sport-specific arbitration from most other processes of allocation. The data also indicated that the opportunity to voice one’s case was also an important determinant of the Athletes’ perceptions of the fairness of the process.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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