Palliative care for homeless patients: A practical approach for medical students
Bibliographic record
Abstract
In this article, Dr. Naheed Dosani, the founder of the Palliative Education and Care for the Homeless (PEACH) program, shares his insight on topics ranging from integrating structural vulnerability into clinical practice to engendering changes within the community through translation of an idea into a real-world program. PEACH is a community-based organization that aims to provide high-quality and easily accessible palliative care to individuals that are homeless. We explore key tenants of palliative care such as harm reduction and trauma- informed care and their applicability for homeless or transiently housed patients. Dr. Dosani describes the unique elements of PEACH and the Journey Home Hospice (JHH), including accepting referrals from care workers, and the practical logistics of building this successful program in just a few short years.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".