Medical Assistance in Dying and Palliative Care: Shared Trajectories
Bibliographic record
Abstract
Medical Assistance in Dying (MAID) and palliative care often have an antagonistic relationship in jurisdictions where both are legal, but the early ethical and legal history of palliative care closely mirrors that of MAID in important ways. Palliative practices that are commonplace today were considered homicide or "medically assisted death" in most jurisdictions until quite recently. Moreover, while many patients request MAID today for reasons that are criticized as "ableist," the same rationale is accepted without comment or judgment when used to justify withdrawal of life support or a discontinuation of life-prolonging therapies. Concerns about factors that undermine autonomous decisions for MAID would apply equally to routine palliative care practices. By the same token, palliative care exists because no field in medicine is able to fix every problem it encounters. It is ironic, therefore, that some palliative care providers oppose MAID with the hubristic argument that we can relieve all forms of suffering. Palliative care providers may choose not to participate in MAID, but palliative care and MAID do not have to be mutually exclusive and are often complementary and synergistic for patients and families.
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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 | 0.029 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.020 | 0.054 |
| Scholarly communication | 0.024 | 0.039 |
| Open science | 0.003 | 0.054 |
| Research integrity | 0.008 | 0.021 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".