Coming Home to Die: Six Nations of the Grand River Territory Develops Community-Based Palliative Care
Bibliographic record
Abstract
This paper describes the development and implementation of a community-based palliative care program in Six Nations of the Grand River Territory, Ontario. Six Nations innovative program is grounded in their vision to provide access to quality palliative care at home and incorporate Haudenosaunee Traditional teachings. A community Project Advisory Committee led the development process, and a Leadership Team of local and regional palliative care partners led implementation. Using participatory action research, academic researchers supported activities and facilitated data collection and evaluation. Outcomes included: creation of a Palliative Shared Care Outreach Team, including a First Nation’s physician, nurse and social worker; development of a detailed care pathway for clients who need palliative care; increased home deaths (55) as compared to hospital (22) or hospice deaths (6); access to palliative care education and mentorship for local health care providers; incorporation of Traditional teachings to support clients and staff around death, dying, grief and loss; and creation of a palliative care program booklet for Six Nations Health Services. This unique initiative reduces disparities in access to quality palliative home care and demonstrates that First Nations communities can successfully undertake a process of community capacity development to create unique and culturally responsive palliative care programs. Challenges included overcoming federal and provincial jurisdictional issues in provision of health services through collaborative partnerships at the local and regional level.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".