Delivering Primary Care to Homeless Persons: A Policy Analysis Approach to Evaluating the Options
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Homeless persons are numerous, carry a significant burden of illness and face challenges in accessing care. A search of the literature revealed insufficient empirical sources to permit the use of standard systematic review methodology to determine the most effective way to deliver point-of-first-contact healthcare to homeless people. Instead, we used a policy analysis approach. We found that the dominant model of primary care in Canada performs poorly when assessed on 13 evaluation criteria. While there is variable performance on individual measures, the three alternative models - targeted standard facility/clinic site, fixed outreach site and mobile outreach service - all perform well. Our findings suggest that some factor other than performance on the specified measures, such as costs, feasibility, geographical fit or local preferences, should be used to choose a specific model. Our analysis clearly indicates that the status quo model of primary care is inadequate to meet the needs of homeless people.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.005 | 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 it