2021-2022 Research in Medical Education Planning Committee
Bibliographic record
Abstract
Cochair Meredith Young, PhD Associate Professor, Center for Medical Education Faculty of Medicine McGill University Cochair Dorene F. Balmer, PhD Professor of Pediatrics Perelman School of Medicine at the University of Pennsylvania Children’s Hospital of Philadelphia Past Chair Zareen Zaidi, MD, PhD Professor of Medicine George Washington School of Medicine and Health Sciences Members Andrea N. Leep Hunderfund, MD, MHPE Assistant Professor of Neurology and Director for Learning Environment and Educational Culture Mayo Clinic Alix School of Medicine Vice Chair, Clinical Learning Environment Optimization School of Graduate Medical Education Associate Director Program in Professionalism and Values Mayo Clinic Justin L. Sewell, MD, PhD, MPH, FACP Associate Professor of Clinical Medicine University of California, San Francisco Daniel J. Schumacher, MD, PhD, MEd Associate Professor University of Cincinnati Department of Pediatrics Cincinnati Children’s Hospital Cha-Chi Fung, PhD Associate Professor of Clinical Medical Education Keck School of Medicine of University of Southern California Javeed Sukhera, HBSc, MD, PhD, DABPN, FRCPC Chair of Psychiatry, Institute of Living Chief of Psychiatry, Hartford Hospital Lecturer, Yale University School of Medicine Kulamakan (Mahan) Kulasegaram, PhD Temerty Chair in Learner Assessment & Evaluation Director, The Office of Education Scholarship, Department of Family & Community Medicine Scientist, The Wilson Centre & MD Program Associate Professor, Department of Family & Community Medicine Temerty Faculty of Medicine, University of Toronto Professor of Clinical Medicine, University of California San Francisco Tasha R. Wyatt, PhD Associate Professor Uniformed Services University of the Health Sciences Arianne Teherani, PhD Professor of Medicine Director, Program Evaluation and Education Continuous Quality Improvement Founding Codirector, University of California Center for Climate, Health, and Equity Education Scientist, Center for Faculty Educators Co-Lead, Equity and Justice in Education School of Medicine, University of California, San Francisco Ming-Jung Ho, MD, DPhil Professor, Department of Family Medicine Associate Director, Center for Innovation and Leadership in Education Georgetown University Medical Center AAMC Staff Nesha Brown Senior Program Specialist Academic Affairs Association of American Medical Colleges Katherine McOwen Senior Director, Educational Affairs Academic Affairs Association of American Medical Colleges
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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 | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.400 | 0.284 |
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".