Serious Leisure Careers Among Whitewater Kayakers: A Feminist Perspective
Bibliographic record
Abstract
‘Extreme’ or adventure sports continue to enjoy a great deal of media attention, which is matched by growth in terms of overall participation in these activities. As part of a larger research project examining high-risk leisure, this author has been conducting a study of the adventure sport of Whitewater kayaking in the Canadian Rockies since June 2000. This research project is exploratory in nature and makes use of Glaser and Strauss's (1967) grounded theory method to identify emerging themes. However, the project is framed by Stebbins' (1992) theory of serious leisure. Several themes have been identified with data collection and analysis ongoing in other phases of the project. This report of research findings concentrates on the career trajectory of Whitewater kayakers. In seeking to make sense of the different career trajectories, it is necessary to problematize the concept of serious leisure (Bartram, 2001a). This draws attention to the role of broader power relations and the effect of these on career trajectories. By using feminist analysis as a theoretical lens, it is apparent that Whitewater career trajectories vary according to important stratifiers such as age, class, parental status, athletic ability, and gender.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".