Examining procedural fairness in anti-doping disputes: a comparative empirical analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract While the principles of procedural fairness apply in anti-doping disputes pursuant to Article 8 of the Word Anti-Doping Code, 2021 (the Code), there has been limited research assessing whether due process requirements are applied consistently by national anti-doping tribunals. This paper investigates the extent to which the procedural requirements set out under the Code are followed in practice, with a focus on India, New Zealand and Canada, facilitating comparison between developed and developing jurisdictions. By providing an evidence-based examination of first instance anti-doping procedures, this study confirms existing theories on the overall lack of harmonization in anti-doping procedures. We undertook a frequency analysis on the full-text awards handed down by first instance anti-doping tribunals in the comparative jurisdictions and the findings highlight inconsistent application of timeliness requirements and access to legal representation. Critically, in India, disputes take significantly longer to be resolved than in Canada and New Zealand, while far fewer Indian athletes are represented by legal counsel. In all jurisdictions, athletes who were represented by counsel were more likely to see a reduction in their sanctions. The study provides empirical evidence of systemic issues associated with timeliness and access to justice in anti-doping tribunals across jurisdictions and reinforces the need to focus on capacity building and enforcement of procedural safeguards, especially in developing countries. Practical recommendations include strategies to better achieve compliance and harmonization in protecting the procedural rights of athletes, particularly those athletes affected by the current application of the Code where cultural and socio-economic barriers may exacerbate procedural issues.
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.
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 | 0.003 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it