Engaging with patients who desire death: Interpretation, presence, and constraint
Bibliographic record
Abstract
Canadian end-of-life care is changing. Given recent legislative changes concerning assisted death (euthanasia and assisted suicide), it is vital to examine the perspectives of nurses regarding their care of patients who want to die. This qualitative descriptive study reports findings from interviews with 11 oncology nurses about their experiences of engaging with patients who desire death. Findings provide important insights about how oncology nurses interpret patients' desire-for-death and enact therapeutic presence with these patients. Findings further speak to contextual forces that constrain therapeutic engagement. Interviews were conducted before laws changed in Canada, generating insights that are relevant now more than ever, as increasing numbers of patients will contemplate and receive assisted death in the new landscape of Canadian end-of-life care.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.031 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".