Extreme Sport, Identity, and Well-Being: A Case Study and Narrative Approach to Elite Skyrunning
Bibliographic record
Abstract
Although extreme-sport athletes’ experiences have been explored in sport psychology, more research is needed to understand the nuanced identity meanings for these athletes in the context of health and well-being. A case-study approach grounded in narrative inquiry was used to explore identity meanings of 1 elite extreme-sport athlete (i.e., skyrunner Kilian Jornet) in relation to well-being. Data gleaned from 4 documentary films and 10 autobiographical book chapters describing the Summits of My Life project were subjected to a thematic narrative analysis. Two intersecting narratives—discovery and relational—threaded the summits project and were used by Jornet to construct an “ecocentric” identity intertwined with nature in fluid ways, depending on 3 relationships related to well-being: the death of climbing partner Stéphane Brosse, team members’ shared values, and her relationship with partner Emelie Forsberg. An expansion of identity, health, and well-being research on extreme-sport athletes beyond simplistic portrayals of them as pathological risk takers and/or motivated by personality traits was gained from these findings.
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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) | 0.001 | 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 | 0.000 |
| 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".