Professionalism, Communities of Practice, and Medicine’s Social Contract
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it