Teaching professionalism across cultural and national borders: Lessons learned from an AMEE workshop
Bibliographic record
Abstract
BACKGROUND: At the 2009 AMEE meeting in Malaga, Spain, a workshop was held entitled "Medicine's Social Contract with Society - An International Perspective." AIMS: One of the objectives of this workshop was to explore the international differences in medicine's social contract with society, which is linked to the nature of professionalism. METHODS: Nineteen individuals from 11 countries participated. They were asked to compare the expectations of the patients and the general public as well as those of the medical profession with those outlined in a recent publication addressing the issue from a North American perspective. RESULTS: The results indicated that the role of the healer appears to be universal, with only minor differences being found in different cultures and countries. However, there were differences noted in the role of the professional, which of course must reflect national differences in the social contract in health care. CONCLUSION: These differences must be respected by those teaching professionalism.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".