Sport-Specific Arbitration in Canada: A Qualitative Investigation of Four Athletes' Perceptions of the Fairness of the Process
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".