Navigating Athlete Citizenship: The Negotiation of Rights, Roles and Responsibilities by Canadian Olympians
Bibliographic record
Abstract
Forms of citizenship expand beyond those based on nation-state to involve populations at both sub-national and transnational levels (Roche, 2002; Yuval-Davis, 2006; Sindic, 2011). This research examines the athlete citizenry including (1) institutionalized meanings related to rights, roles, and responsibilities of high-performance athletes; and (2) the range of meanings of athlete citizenship negotiated by athletes. Document analysis and interviews with athletes and key informants have been deployed to synthesize an athlete citizenship framework. Findings from this research are: (1) athletes express a sense of belonging to a transnational community of high-performance and Olympic athletes; thus, it is possible to derive a definition of athlete citizenry by examining the athlete community through broader models of citizenship; (2) further work is needed to uphold and expand athletes’ rights; (3) athletes with recent high-performance success tend to engage in social initiatives to derive ‘deeper’ meaning from their sporting experiences.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.017 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".