Understanding Community Integration in a Housing-First Approach: Toronto At Home/Chez Soi Community-Based Research
Bibliographic record
Abstract
The Mental Health Commission of Canada’s At Home/Chez Soi project has taken a housing-first approach, providing approximately half of the project participants with housing as well as services that are tailored to meet their needs, while the other half have access to the regular supports that are available in their community. At Home/Chez Soi worked specifically with people with experiences of homelessness and mental health. The People With Lived Experience Caucus is linked to the Toronto site of the At Home/Chez Soi project and provides to all aspects of the larger project the perspective and advice of people who have experienced homelessness and used the mental health system. Given the opportunity to develop their own research project, the People With Lived Experience Caucus Research Subcommittee analyzed purposively sampled 18-month follow-up interviews from the At Home/Chez Soi Toronto evaluation in order to explore how the participants discuss and experience community integration in their day-to-day lives. Through our research we found that community integration is a complicated and non-linear process that is positively impacted by working toward the self-determination, independence, and empowerment of the project participants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".