Becoming a professional surf coach as a social participation trajectory
Bibliographic record
Abstract
The purpose of this study was to analyse the social participation trajectory of a Brazilian surf coach. A single case study was conducted with a coach who accumulated experiences of 38 years as a surfer and 28 years as a coach. Data were collected using a combination of in-depth interviews and the Rappaport Timeline and analyzed using inductive thematic analysis. Results revealed that Khloe’s pre-coaching trajectory involved gradually developing physical and sports skills, values, and interests related to the surfing practice and lifestyle. In her surf coach participation trajectory, Khloe participated in communities and social practices, expanding and redirecting the meanings and competencies related to her participation in the surfing community. In the case of Khloe, becoming a coach was a process of travelling within and across communities, where the different modes of belonging allowed her to negotiate and consolidate meanings, regimes of competence and identities deeply connected to surfing.
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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 | 0.001 | 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) | 0.003 | 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".