Skating the line : a narrative inquiry-based study of former figure skaters' tensions in their sport
Bibliographic record
Abstract
Figure skaters skate a fine line as they navigate pressures to execute physically demanding, technical skills while maintaining the aesthetics of movements, appearance, and musicality. These conditions along with embedded narratives of success and performance affect the experiences of every competitive figure skater. As a former figure skater and coach, in this research, I explore the experiences of figure skaters and the inherent tensions they endure (Clandinin, Murphy, Huber, & Orr, 2009). Integrating theories and methods from organizational culture and narrative inquiry, my research explores the experiences of athletes within the culture of high-performance figure skating. I recruited seven former figure skaters (four female and three male) who had competed at a Senior Competitive level in Canada. The research followed three guiding questions: • What tensions do former figure skaters identify in relation to their experience as high-performance figure skaters? • How are these tensions related to the organizational culture of figure skating? • How do participants reflect on these tensions over time? Using artifacts to elicit conversations and reflections, I completed three to four interviews with each participant. I present their stories in a variety of narrative formats to better capture the feel of the interviews and their lived experiences. The figure skaters experienced multiple tensions across their careers as they embraced the lifestyle of a skater and during transitions away from the sport. Tensions included monitoring bodies, an overriding emphasis on competitions and winning, and the importance of music, choreography, and appearance in their overall performance as elite figure skaters. While many tensions were taken-for-granted as being a high-performance athlete, once removed from the sport, participants became aware of the sacrifices they had made and how some aspects of the culture had influenced their mental health and well-being. A critical analysis of the normalized aspects of the sport revealed an emphasis on performance deeply embedded across all levels of figure skating’s organizational culture (Schein, 2010). The dissertation highlights how participants became part of the problematic culture, accepting its localized terms and conditions which in turn served to reinforce and re-create the culture’s dominant values and norms (Alvesson, 2013; Smircich, 1983).
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".