Professionalism, Communities of Practice, and Medicine’s Social Contract
Bibliographic record
Abstract
While medicine's roots lie deep in antiquity, the modern professions only arose in the middle of the 19th century after which early social scientists examined the nature of professionalism. The relationship between medicine and society received less attention until profound changes occurred in the structure and financing of health care, leading to a perception that medicine's professionalism was being threatened. Starr in 1984 proposed that the relationship was contractual with expectations and obligations on both sides. Other observers refined the concept, believing that the historic term, "social contract," could be applied to the relationship, a concept with which many agree. There was general agreement that society used the concept of the profession to organize the delivery of essential services that it required, including health care. Under the terms of the contract, the medical profession was given financial and nonfinancial rewards, autonomy, and the privilege of self regulation on the understanding that it would be trustworthy, assure the competence of its members, and be devoted to the public good. In examining how the social contract is negotiated, it has been proposed that physicians belong to a "community of practice" that they voluntarily join during their education and training. In joining the community, they accept the norms and values of community members and acquire the identity prescribed by the community. The leaders of the community are responsible for negotiating the social contract on behalf of the medical profession. In so doing, they must ensure that they recognize the importance of devotion to the public good in the maintenance of medicine's professional status.
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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 | 0.023 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.091 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.006 | 0.005 |
| 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 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".