Observing Coaches’ Leadership Behaviours: the Development of the Coach Leadership Assessment System (CLAS)
Bibliographic record
Abstract
The purpose of the present study was to develop an observational coding system that examines coaches’ leadership behaviours in sport. Drawing from an integration of the dimensions emphasized within the full-range leadership model, and particularly, transformational leadership (TFL), the Coach Leadership Assessment System (CLAS) was designed to examine coaches’ real-time leadership behaviours. Behavioural categories were developed through an iterative combination of literature review, qualitative interviews, and video observation. The CLAS consists of five higher-order dimensions: transformational, transactional, neutral, laissez-faire, and toxic coaching, which assess coaches’ leadership across 18 distinct behavioural categories. Overall, results provided preliminary support for the reliability and validity of this instrument. The CLAS provides a detailed and contextualized account of coaches’ leadership behaviours in sport and may have important implications for theory development and applied practice.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".