The ecology of mental skills development in Canadian athletes: person-process-context-time
Bibliographic record
Abstract
This bachelor's thesis examines the development of mental skills in Canadian athletes. It does this by linking Urie Bronfenbrenner's Ecological Theory to the underlying themes of sport psychology. In the literature review section, chapters on motivation, specific mental strategies, talent perception, athlete development and education, and the Canadian context are developed in addition to the person-process-context-time model. The thesis offers various connections between the theories and emphasizes certain factors that most influence an athlete's personality and development. At the end of the theoretical section, an overview of several Canadian projects that influence the Canadian sport context is offered. The content of the practical section is qualitative research that examines the development of mental skills in Canadian university athletes. Data were collected through semi-structured interviews and then evaluated through thematic analysis. The results of the research offer an overview of the themes related to motivation, the process of mental skills training and the associated role of sport psychology, followed by the characteristics and mind-set of the athletes, and finally the athlete's environment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".