A Case Study of a Parasport Coach and a Life of Learning
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
The complex process of sport coaching is a dynamic and evolving practice that develops over a long period of time. As such, a useful constructivist perspective on lifelong learning is Jarvis’ (2006, 2009) theory of human learning. According to Jarvis, how people learn is at the core of understanding how we can best support educational development. The purpose of the current study is to explore the lifelong learning of one parasport coach who stood out in his feld, and how his coaching practice evolved and developed throughout his life. A thematic analysis (Braun & Clarke, 2006) was used to extract themes and examples from three two-hour interviews as well as interviews with key collaborators in his coaching network. The findings reveal a coach whose coaching practice is founded on pragmatic problem solving in the face of a lack in resources; an investment in formal and nonformal adapted activity education at the start of his parasport career; and observation, communication, and relationship-building with his athletes and the parasport community. Suggestions are provided for coach developers on how they might invest resources and create learning opportunities for coaches of athletes with a disability.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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