The promises and limitations of codes of medical ethics as instruments of policy change
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
Codes of medical ethics (codes) are part of a longstanding tradition in which physicians publicly state their core values and commitments to patients, peers, and the public. However, codes are not static. Using the historical evolution of the Canadian Medical Association's Code of Ethics as an illustrative case, we argue that codes are living, socio-historically situated documents that comprise a mix of prescriptive and aspirational content. Reflecting their socio-historical situation, we can expect the upheaval of the COVID-19 pandemic to prompt calls to revise codes. Indeed, Alex John London has argued in favour of specific modifications to the World Medical Association's International Code of Medical Ethics (which has since been revised) in light of moral and scientific failures that occurred during the COVID-19 pandemic. Responding to London, we address the more general question: should codes be modified to reflect lessons drawn from the COVID-19 pandemic or future such upheavals? We caution that codes face limitations as instruments of policy change because they are inherently interpretive and 'multivocal', that is, they usually underdetermine or provide more than one answer to the question, 'What should I do now?' Nonetheless, as both prescriptive and aspirational documents, codes also serve as tools for reflection and deliberation-collective practices that are necessary to engaging with and addressing the moral and scientific uncertainties inherent to medicine.
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 | 0.021 | 0.376 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| 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