Cross-Cultural Dynamics in Palliative Care: The Emerging\nCanadian Scenario
Bibliographic record
Abstract
As modern technologies leverage medical sciences, life expectancy is on the rise in Canada, and indeed globally with a remarkable increase in the elderly population in need of health care. The same is true of the diversity of cultural groups who are now patrons and stakeholders in Canada's health care landscape. An emergent feature ofthis landscape is the complexity ofcontexts for negotiating and mediating medical care delivery at the end of life. This paper examines the gaps in regulatory and legal interventions as well as the gaps and opportunities to negotiate the transition to palliative care in cross-cultural contexts that have the potential to escalate as Canada's domestic health care system increasingly engages with non-dominant segments of Canada's cultural mosaic at the endof-life spectrum. It calls attention to the increased relevance of palliative care, identifying cross-cultural elements required for continuing and future elaboration of that care regime fully into the Canadian health care system.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.043 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".