A Deliberative Democratic Approach to Athlete-Centred Sport: The Dynamics of Administrative and Communicative Power
Bibliographic record
Abstract
This article examines the sport policy process in realizing an athlete-centred sport system through the lens of deliberative democracy. We examine the development of an athlete-centred system largely in the context of Canadian high performance sport; however global aspects of this trend are recognized. Athlete-centred initiatives in light of Habermas's (1996) deliberative democracy theory's core concepts of administratively employed power and communicatively generated power are discussed. In particular, we demonstrate instances of communicative power's counter-steering capabilities of the state's use of administrative power. The tensions between administrative and communicative power illustrated through efforts towards establishing an athlete-centred system are also presented. We conclude by discussing the implications for the potential for a deliberative democratic approach in realizing an athlete-centred sport system and raise important issues about its development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.058 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".