La passion sportive chez des entraineurs universitaires québécois : définition, développement et maintien
Bibliographic record
Abstract
Cette recherche porte sur la passion sportive des entraineurs universitaires québécois. Le terme « passion » fait partie du vocabulaire sportif depuis toujours, mais peu d’entraineurs et d’athlètes sont conscients de son développement et de son maintien dans le temps. Il semble donc que la passion sportive est un sujet dont la compréhension doit encore être peaufinée puisque rares sont les recherches qui ont tenté de cerner la passion de l’entraineur et de l’impact que celle-ci peut avoir sur lui-même et son équipe. Les objectifs de l’étude consistent à définir la passion de l’entraineur et à découvrir comment elle se développe et se maintient. La méthodologie utilisée est de type qualitatif/interprétatif, et dix entrevues semi-structurées ont permis aux entraineurs universitaires de s’exprimer sur la passion sportive. Les résultats démontrent que la notion de temps et d’énergie est présente dans la définition de la passion sportive des entraineurs. Enfin, le développement et le maintien de la passion sportive des entraineurs semblent être favorisés par la satisfaction des besoins psychologiques de compétence, d’autonomie et d’appartenance. \n \n \nThis study addresses passion for sports among university-level coaches in Quebec. The term “passion” has been a part of the vocabulary in sports contexts for years, however, not many coaches and athletes are aware of how they become and stay passionate throughout the years. In fact, only a few studies have sought to better understand coaches’ passion and the impact it can have on them and their team. The objectives of the present study were to define passion among coaches as well as to describe how it develops and how the coaches maintain it throughout many seasons. A qualitative/interpretative methodology was employed and semi-structured interviews were carried out with 10 university-level coaches. Results were interpreted through the Dualistic Model of Passion. The results show that the notions of time and energy are present in the coaches’ definition. Finally, it appears that the development and maintenance of coaches’ passion are associated with the satisfaction of the psychological needs for competence, autonomy and relatedness.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".