Diversity and Access to Palliative Care and Medical Assistance in Dying in an Urban Setting
Bibliographic record
Abstract
This article focuses on the end-of-life experiences of migrants and non-migrants from young to old, who died in a Canadian cosmopolitan city in the years preceding the COVID-19 pandemic. Based on interviews with over one hundred relatives of as many deceased, the authors discuss end of life issues, namely access to palliative care and medical assistance in dying. The data indicate unequal access to care at the intersection of several factors, including type of disease, patient's age, uncertainty of their prognosis, and migrant/non-migrant status. While being young and having cancer were undeniably associated with the provision of care (curative and palliative), those who did not benefit from palliative care tended to be social minorities in the local society and suffered from diseases with ambiguous prognosis. The right to "Die with dignity" is fundamental, with or without palliative care and regardless of where the end of life takes place.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".