An evaluation of a Housing First program for chronically homeless women
Bibliographic record
Abstract
Housing First is rapidly developing as a promising practice for ending homelessness. However, concerns have been raised regarding application for particular populations, such as women. Using a critical feminist lens, this evaluation assessed a Housing First program delivered in a mid-sized city in Ontario, Canada. The evaluation included interviews with program participants, program providers, and community key informants. Ultimately, the program proved successful in housing a small group of chronically homeless women, demonstrating that Housing First works with women, and works best when designed with the unique needs of women taken into consideration. The program achieved moderate fidelity to the Housing First model, and a number of recommendations are provided to better meet the unique needs of women. In particular, the issue of unresolved grief and loss in the context of child apprehension was identified as a root cause of ongoing trauma. Consideration is also given to the intersection between mental health services and Housing First programs.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".