Investigation of the Coaching Behaviours among Singapore Coaches
Bibliographic record
Abstract
LANGUAGE NOTE | Document text in English; abstract also in Chinese.Athletic performance is the result of interactions among the athlete, coach and performance environment. Each of these factors is critical to performance outcomes. This study is designed to improve our understanding of these interactions, with a focus on coaching in Singapore. Salmela (1996) and colleagues (Cote & Dowd, 1996; Cote, Salmela & Russell, 1995 a, b) recently conducted an in-depth and extensive research project on Canadian expert coaches. The results have provided a knowledge base grounded in coach's realities. The qualitative data gained from expert coaches has lead to the development of a questionnaire, the Coaching Behaviour Scale (CBS) aimed at assessing coaching behaviours from the athletes perspective. Preliminary tests of the Scale reveals most of the subscales to have a high degree of internal consistency and that the factor structure approximates the original theoretical framework. These are preliminary findings and there is need to develop the scale further. The purpose of this study is broadly two fold. Firstly the study will contribute to the on going validation of the CBS developed by Cote and Yardley from Brock University in Canada secondly, it will serve as a preliminary study of the coaching behaviours and overall coaching characteristics of Singapore national coaches.運動的成功之道有乃運動員本身、敎練員及其他環境因素的配合。本研究針對上述各因素之間的關係，探討星加坡敎練員在這方面的行為表現。並從運動員的層面，以敎練行為調查表來評估敎練員的行為，初步資料顯示出敎練行為調查表具備充分的可靠度，有效作為深入研究之用。
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".