Practical Resources for the Psychology of Coaching Adults: Five Coaching Profiles
Bibliographic record
Abstract
Masters sport is for adult athletes typically aged 35 years and older who balance performance goals, social connections, and sport adherence strategies. In this article, we present adult-oriented coaching profiles that assist practitioners in better understanding, assessing, and developing psychological strategies when working with Masters athletes. Five theoretical coaching profiles are derived from a secondary analysis of empirical data, aligning coaching practices with athlete psychological outcomes such as motivation, self-confidence, and autonomy. We provide the profiles as practical resources for mental performance consultants, coach developers, and coaches in promoting quality interactions, meaningful competition, and athlete empowerment, which ultimately support the growth of effective, psychologically-informed coaching practices for adult athletes. Emphasizing adaptable strategies across coaching contexts, the profiles guide conversations on the recruitment, development, and retention of adults in sport, fostering lifelong participation through meaningful engagement and personalized psychological approaches.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".