It’s a ‘two-way street’: resident perspectives of effective coaching relationships in the clinical learning environment
Bibliographic record
Abstract
Background: Coaching has gained traction in postgraduate medical education to enhance interactions between residents and clinical teachers, but these relationships present unique challenges and tensions. In order to realize the promises of coaching in medical education, we must understand how coaching relationships can be enacted to optimize resident development. The purpose of this study was to explore residents' perceptions of key characteristics for effective clinical teacher-resident (CT-R) coaching relationships. Methods: We conducted four focus groups and eight interviews with residents at a Canadian academic center. Using a social constructionist approach, focus groups and interviews were audio recorded, transcribed verbatim, and thematically analyzed. Results: Residents described three main characteristics that contributed to effective CT-R coaching relationships: safe, meaningful, and collaborative. Residents emphasized that these characteristics needed to be bidirectional in nature to be most effective, in that both the resident and clinical teacher embodied these characteristics. Conclusions: Residents identified that effective coaching relationships were shaped not only by clinical teacher behaviours, but importantly, the quality of the interpersonal relationship that was fostered. Thus, it is imperative to consider the bidirectional nature of the CT-R coaching relationship when striving to enhance resident development.
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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 | 0.011 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".