Drawing the line on physician-assisted death
Bibliographic record
Abstract
Drawing the line on physician assistance in physician-assisted death (PAD) continues to be a contentious issue in many legal jurisdictions across the USA, Canada and Europe. PAD is a medical practice that occurs when physicians either prescribe or administer lethal medication to their patients. As more legal jurisdictions establish PAD for at least some class of patients, the question of the proper scope of this practice has become pressing. This paper presents an argument for restricting PAD to the terminally ill that can be accepted by defenders as well as critics of PAD for the terminally ill. The argument appeals to fairness-based paternalism and the social meaning of medical practice. These two considerations interact in various ways, as the paper explains. The right way to think about the social meaning of medical practice bears on fair paternalism as it relates to PAD and vice versa. The paper contends that these considerations have substantial force when directed against proposals to extend PAD to non-terminally ill patients, but considerably less force when directed against PAD for the terminally ill. The paper pays special attention to the case of non-terminally ill patients who suffer from treatment-resistant depression, as these patients present a potentially strong case for extending PAD beyond the terminally ill.
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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 | 0.040 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.054 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.038 | 0.050 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".