Postgraduate internal medicine residents’ roles at patient discharge – do their perceived roles and perceptions by other health care providers correlate?
Bibliographic record
Abstract
Knowing one's own role is a key collaboration competency for postgraduate trainees in the Canadian competency framework (CanMEDS®). To explore methods to teach collaborative competency to internal medicine postgraduate trainees, baseline role knowledge of the trainees was explored. The perceptions of roles (self and others) at patient discharge from an acute care internal medicine teaching unit amongst 69 participants, 34 physicians (25 internal medicine postgraduate trainees and 9 faculty physicians) and 35 health care professionals from different professions were assessed using an adapted previously validated survey (Jenkins et al., 2001). Internal medicine postgraduate trainees agreed on 8/13 (62%) discharge roles, but for 5/13 (38%), there was a substantial disagreement. Other professions had similar lack of clarity about the postgraduate internal medicine residents' roles at discharge. The lack of interprofessional and intraprofessional clarity about roles needs to be explored to develop methods to enhance collaborative competence in internal medicine postgraduate trainees.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".