Responses of Rural Family Physicians and Their Colleague and Coworker Raters to a Multi-Source Feedback Process: A Pilot Study
Bibliographic record
Abstract
PURPOSE: To describe responses of family physicians, their medical colleagues, and coworker raters to a multisource feedback assessment process. METHOD: Data collection tools included multisource feedback self-assessment and medical colleague, coworker, and patient rating forms; and program evaluation physician and rater questionnaires. RESULTS: The pilot study included 142 physicians and their raters, with 113 (80%) physicians completing evaluations. Positive correlations were found between familiarity scores and medical colleague and coworker mean ratings. Peer medical colleagues were significantly more familiar with physicians than were consultants. Consultants were unable to rate items most frequently. Physicians disagreed with colleague feedback more frequently. Agreement was positively correlated with scores. CONCLUSIONS: Familiarity, ability to observe physicians appropriately to rate them, and physicians' responses to feedback are factors to consider when multisource feedback is used.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".