Feedback Credibility in a Formative Postgraduate Objective Structured Clinical Examination: Effects of Examiner Type
Bibliographic record
Abstract
ABSTRACT Background Resident perspectives on feedback are key determinants of its acceptance and effectiveness, and provider credibility is a critical element in perspective formation. It is unclear what factors influence a resident's judgment of feedback credibility. Objective We examined how residents perceive the credibility of feedback providers during a formative objective structured clinical examination (OSCE) in 2 ways: (1) ratings of faculty examiners compared with standardized patient (SP) examiners, and (2) ratings of faculty examiners based on alignment of expertise and station content. Methods During a formative OSCE, internal medicine residents were randomized to receive immediate feedback from either faculty examiners or SP examiners on communication stations, and at least 1 specialty congruent and either 1 specialty incongruent or general internist faculty examiner for clinical stations. Residents rated perceived credibility of feedback providers on a 7-point scale. Results were analyzed with proportional odds models for ordinal credibility ratings. Results A total of 192 of 203 residents (95%), 72 faculty, and 10 SPs participated. For communication stations, odds of high credibility ratings were significantly lower for SP than for faculty examiners (odds ratio [OR] = 0.28, P < .001). For clinical stations, credibility odds were lower for specialty incongruent faculty (OR = 0.19, P < .001) and female faculty (OR = 0.45, P < .001). Conclusions Faculty examiners were perceived as being more credible than SP examiners, despite standardizing feedback delivery. Specialty incongruency with station content and female sex were associated with lower credibility ratings for faculty examiners.
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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 | 0.034 | 0.233 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".