A Genealogy of Autonomy: Freedom, Paternalism, and the Future of the Doctor–Patient Relationship
Bibliographic record
Abstract
Although the principle of respect for personal autonomy has been the subject of debate for almost 40 years, the conversation has often suffered from lack of clarity regarding the philosophical traditions underlying this principle. In this article, I trace a genealogy of autonomy, first contrasting Kant's autonomy as moral obligation and Mill's teleological political liberty. I then show development from Mill's concept to Beauchamp and Childress' principle and to Julian Savulescu's non-teleological autonomy sketch. I argue that, although the reach for a new principle to guide choices in physician-patient relationships can rightfully be seen as important, the notion that is now called autonomy within bioethics has corollaries that undermine critical aspects of medical care. As such, there is need for a richer account of the interplay between the free choice of patients and the informed recommendations of doctors.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.080 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| 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".