Implementing Housing First Across Sites and Over Time: Later Fidelity and Implementation Evaluation of a Pan‐Canadian Multi‐site Housing First Program for Homeless People with Mental Illness
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
This article examines later fidelity and implementation of a five-site pan-Canadian Housing First research demonstration project. The average fidelity score across five Housing First domains and 10 programs was high in the first year of operation (3.47/4) and higher in the third year of operation (3.62/4). Qualitative interviews (36 key informant interviews and 17 focus groups) revealed that staff expertise, partnerships with other services, and leadership facilitated implementation, while staff turnover, rehousing participants, participant isolation, and limited vocational/educational supports impeded implementation. The findings shed light on important implementation "drivers" at the staff, program, and community levels.
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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 | 0.005 | 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 | 0.002 | 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 it