Bibliographic record
Abstract
How has medical assistance in dying changed palliative care?Leonie Herx palliative care doctor I've been consulting in palliative medicine for 17 years.I've seen patients facing frightening diagnoses and hospital admission experience a loss of dignity and worry about burdening loved ones.The cornerstone of palliative care is to reaffirm patients' inherent dignity, helping them live well as they navigate the challenges of serious illness, as rooted in the work of Cicely Saunders, UK physician and founder of the modern hospice.In the words of Dame Cicely, reminding patients that "they matter.Canada's medical assistance in dying (MAID) laws have affected my field more quickly than I'd expected.There's now this sense that by wanting to address the patient's suffering palliative care doctors are trying to convince someone out of getting an assisted death.
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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 | 0.014 | 0.061 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.024 | 0.027 |
| Insufficient payload (model declined to judge) | 0.011 | 0.008 |
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".