Ultramarathon runners’ perception of place: a photo-based analysis
Bibliographic record
Abstract
Sport events that depend upon natural landscapes tend to draw athletes from urban centres to peripheral areas. In doing so these events function as tourist attractions but little is known about the way participating athletes understand these places. This study explores the ways that one type of sport traveller (i.e. ultramarathon runners) understands the host destination (Grande Cache, Canada) as a place of training and competition. A volunteer employed photography data collection method was used along with an inductive thematic analysis. Four themes emerged including place as: (a) landscape, (b) sport competition, (c) community, and (d) an introspective self-portrait. First, under the landscape theme runners saw place as sublime nature during the training camp (TC) and a terrain to be conquered during the race. Second, the sport competition theme reflected place as the event with the competition being the filter through which all other aspects of the setting were understood. Third, the setting was characterized as a place of community that fostered social connection and celebration. Finally, the introspective self-portrait theme focused on the runners themselves as they centred their identity within the setting. While landscape was a dominant theme during the TC visit, the sport competition and community themes became more salient during the competition weekend. The introspective self-portrait theme was strong during both visits. Study findings suggest that runners were attached to the setting through ‘place identity’ in addition to their dependence on it to facilitate the ultramarathon event.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".