Shifting the evaluative gaze: Community-based program evaluation in the homeless sector
Bibliographic record
Abstract
Homelessness is a growing social issue that is a consequence of structural inequities and contributor to the development of health inequities. Community-based research (CBR) has been proposed as an effective research strategy for addressing health equities and promoting social justice through participatory processes. The purpose of this article is to examine the application of CBR principles and practices in the homeless sector and the implications for the production of knowledge and social change to address homelessness. Drawing on our experiences as researchers and service providers, we reflect on the significant successes and challenges associated with using CBR in the homelessness sector. In our discussion we emphasise insights, challenges and lessons learned from a community-university partnership that focused on an evaluation of a transitional shelter program in a large urban centre where housing is expensive and often unavailable.Keywords: Homelessness, housing, transitional housing, transitional shelter, program evaluation, community-based research
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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 | 0.126 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.008 |
| 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".