End‐of‐life care preferences of Canadian senior citizens with caregiving experience
Bibliographic record
Abstract
A grounded theory study of senior citizens' preferences for end-of-life care was conducted in 1998 in Canada. Seniors who had experienced the deaths of others and who had considered their own death and dying were the target population. The sample was 49 seniors who met the study criteria. Participants provided end-of-life care in a variety of settings for 1-8 family members or friends. Two concepts identified were expected dependency while dying and appropriate end-of-life care. Almost all participants preferred to be cared for at home, yet family caregivers who could provide appropriate end-of-life care when dependent were needed for this to occur. The appropriateness of end-of-life care was contingent upon the place where end-of-life care occurred, as well as the type of care provided. Life prolongation was not desired, 53% even endorsed euthanasia as a way of bringing about the inevitable end to life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".