Palliative Care for the Homeless: An intervention to reduce the healthcare economic cost
Bibliographic record
Abstract
Canada's health care system is one of the defining features of the Country. For the past few years - since the economic downturn of 2008 - the health care system has been strained. Furthermore, with Canada's population aging at a fast rate, and older adults being the population that uses the most health care resources, it is imperative to find ways that decrease expenditures while continuing to provide effective care. Through implementing palliative care for Canada's homeless population, resources will be used more effectively and efficiently. In the Ottawa Inner City Health Project - The Hospice - $1.39 million were saved for a mere 28 clients who used the hospice services over an average of 120 days. Providing homeless people palliative care helps to solve this problem and provides services to people who are marginalized and often unable to access care - it shows the humanity that people associate with Canada.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".