The At Home/Chez Soi Canadian Study of Housing First for people who are homeless and mentally ill: study design and baseline data for the Montreal site
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
Background/Objectives: The „Pathways to Housing“ service model for helping people who are homeless and severely mentally ill, developed in New York City, involves providing immediate access to a choice of subsidized, scattered site apartments, together with a recovery-oriented adaptation of Assertive Community Treatment. U.S. evidence suggests that this variant of the „Housing First“ approach is more effective than traditional, step-wise services at helping people to become and remain housed, while increasing perceived choice with regards to housing. It has not yet been experimentally evaluated outside the United States, however. There is even less evidence concerning how this model can be adapted to homeless persons with less severe mental illness. A CAN$110-million, 5-year experimental study of both the Pathways version of Housing First, and an Intensive Case Management (ICM) adaptation for people with less severe mental illness, has been mounted in Canada. Called „At Home/Chez Soi“, the study is being carried out simultaneously in 5 Canadian cities: Vancouver, Winnipeg, Toronto, Montreal, and Moncton. After a brief description of the genesis and organization of the study, the experimental approaches being tested in each city will be described. The common screening and psychometric instruments that form the core batteries being used in each city will be described. Implementation and sub-studies at the Montreal site will be described in more detail. Baseline data on the participant sample in Montreal will be provided.
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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 | 0.003 | 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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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