The “Good” Rural Death: A report of An Ethnographic Study in Alberta, Canada
Bibliographic record
Abstract
Much concern has centred on the "good" death since the modern hospice/palliative care movement began, and considerable progress has been made in urban services to promote the good death. Little is known about the perspectives of people who live in rural and remote areas of Canada on the good death and how this good death might be enabled in those areas. This report is of an ethnographic study in rural Alberta involving English-speaking Albertans. An identical study in Quebec will be reported elsewhere. The 2006-07 Alberta study involved 13 interviews with individuals to understand their personal viewpoints or perspectives and how they were shaped by their experiences, followed by focus group discussions in two representative rural communities for additional insights from rural policy-makers and care providers. Four themes in the Alberta data highlight critical elements of the good rural death. These findings are expected to contribute to rural/remote palliative and end-of-life care developments.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.030 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.005 |
| 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".