Professional identity formation, the practicing physician, and continuing professional development
Bibliographic record
Abstract
Mary is a fifty-year-old family physician who has worked for nearly two decades in a large suburban multidisciplinary family medicine clinic with eight other family physicians as well as nurses, pharmacists, and a dietician. Many of her patients and their families have been with her for several years. To better enjoy and support her children and aging parents, she has recently left the clinic to join a group of medical and radiation oncologists in a breast cancer clinic where she will be the only family physician providing primary care and counseling to their patients who don't have a family physician. She wonders how she will adapt to this work environment in which other family physicians are not available on location to discuss cases with and calibrate her work. She is feeling anxious about working exclusively with cancer physicians, given how specialized their work is, and she does not know any other family physicians who have assumed this type of a role in a specialty clinic. John is a forty-six-year-old MD-PhD working in a medical school. He has just been promoted to professor in his medical school based on the quality of his work as judged by peers within the medical school and internationally. However, he struggles to combine clinical work, teaching, research, and committee work. He frequently works twelve to fourteen-hour days to fulfill the responsibilities of his various roles and succeeds partly by compartmentalizing his work. When he is on clinical service, he tries to focus on being a physician and clinician educator to the medical students and residents on his service. When he is in the lab, he tries to focus on his research, getting grants, running the lab and ensuring graduate students are making progress. As a professor, he is now expected to bring in larger, more complex grants from international agencies and to support postdoctoral fellows as well as graduate students. Many days are difficult as he finds himself pulled with questions from his lab or from the clinic when he is not there. Hospital meetings occur regularly and he is expected to actively participate in quality assurance committee work. Dealing with the new expectations associated with the promotion has been difficult; he feels pulled in too many directions and is not staying on top of his work.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".