The Emergence of the Pandemic: High-Performance Coach and Athlete Experiences
Bibliographic record
Abstract
The current study explored coach and athlete reactions and challenges leading up to the Tokyo 2020 Paralympic Games, with a specific focus on the impacts of the COVID-19 pandemic and the Games' postponement. Nine Australian Paralympic coaches (n = 3) and athletes (n = 6) shared their experiences in semistructured interviews. The thematic analysis highlighted how participants experienced the emergence of the pandemic in different ways, but all were relieved when the late but eventual decision to postpone the Games was made. Regarding lockdown periods (i.e., social-distancing restrictions), some coaches and athletes thrived under the new reality (i.e., training from home, online coaching) while others had more difficulty adjusting. Furthermore, results highlight the many uncertainties still remaining, which continue to influence participants' sport and personal lives. The experiences of coaches and athletes during the COVID-19 pandemic sheds light on strategies and resources that could support Paralympic coaches and athletes during current and future crises.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".