Compassionate Communities in Canada: it is everyone’s responsibility
Bibliographic record
Abstract
Prof. Allan Kellehear first developed a contemporary public health approach to palliative and end-of-life care. Countries around the world have since adopted the theory of practice that mobilizes palliative care as a public health issue-particularly the Compassionate Communities (CC) model. In the wake of Canada's Medical Assistance in Dying (MAiD) legislation and its growing senior population, quality palliative care has enjoyed a renewed focus. Pallium Canada is helping communities across the country understand and adopt the CC model, through education, knowledge mobilization, project facilitation, and leadership. Although it has made significant strides in the last few years, there is still progress to be made. The aim of this paper is to present the historical development of the public health approach to end-of-life care in Canada, including its successes and hardships thus far. Drawing from examples of regional, provincial, and national initiatives, future directions for community engagement as a public health approach to palliative care are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".