The Evolution of the Clinician–Educator in the United States and Canada: Personal Reflections Over the Last 45 Years
Bibliographic record
Abstract
The challenging and changing face of medicine over the last 45 years of the author's career has dictated where faculty members' primary interaction with patients occurs, how they teach trainees, and how they measure educational outcomes. The transfer of patient care from the inpatient to the ambulatory setting in the late 20th century was instrumental in creating a "new' model for faculty-that is, the clinician-educator (CE). This individual has been defined as a faculty member whose primary responsibility as part of the academic mission is patient care and whose focus is on the theoretical constructs that inform excellent teaching and effective learning, applying these to create and inform educational scholarship. Three major forces have affected the CE over time-namely, faculty development, educational scholarship, and the advent of communities of learners. This Invited Commentary traces the evolvement of the CE from the perspective of the author.
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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 | 0.022 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.083 | 0.040 |
| Scholarly communication | 0.023 | 0.007 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.021 | 0.026 |
| 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".