Understanding intrapersonal knowledge in successful female Canadian University coaches
Bibliographic record
Abstract
Intrapersonal knowledge is a component of coaching knowledge that concerns the understanding of oneself and the use of introspection (Côté & Gilbert, 2009). Although intrapersonal knowledge is a key component of coaching expertise and effectiveness (Côté & Gilbert, 2009; Gilbert & Côté, 2013), previous evaluations of coaching effectiveness have primarily focused on professional and interpersonal knowledge. In order to gain insight into the development, application, and perceived benefits of intrapersonal knowledge, semi-structured interviews were conducted with six experienced female university team sport coaches. Interviews were transcribed verbatim, and a thematic analysis was used to organize data into themes and subthemes, as well as to provide a complete understanding of each experience (Sparkes & Smith, 2014). Results revealed coaches developed and applied intrapersonal techniques such as reflection, and valued continuous learning especially with guidance from a mentor. Daily reflection was cited by all coaches as an important process for learning and self-improving. The frequency and depth of reflections varied depending on the time of the season. Lifelong learning process was underpinned by high self-awareness and high emotional intelligence, which was evidenced by adopting an individualistic approach when coaching different athletes. All of the coaches used help from a mentor to gain sport-specific knowledge, as well as improving emotional intelligence and dealing with the coaching lifestyle. The use of reflection, and self-awareness (intrapersonal), in order to deal with their athletes (interpersonal), as well as their interactions with a mentor (interpersonal) to improve emotional intelligence (intrapersonal), supports evidence for the interconnectedness of different types of coaching knowledge (Gilbert & Côté, 2013). Additionally, the present results identified the demands and stressors coaches regularly face, and the common symptoms and consequences of these stressors. Three of the six coaches expressed some symptoms of burnout or depression at one point in their career. Developing intrapersonal knowledge and self-awareness could thus serve multiple purposes by improving coaching effectiveness, but also help detect symptoms of stress before they lead to more serious illness such as burnout and depression
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".