Choice and personal recovery for people with serious mental illness living in supported housing
Bibliographic record
Abstract
Background: The relationship between personal choice and mental health recovery in the context of supported housing has not been explored.Aims: To gain an understanding of how choice facilitates recovery processes in supported housing environments for those with serious mental illness (SMI).Method: Qualitative in-depth interviews were conducted with 24 tenants with SMI living in supported housing.Results: Choice while living in supported housing was a large contributor to wellbeing and mental health recovery. Tenants valued three domains of choice: (1) choosing to be responsible for one’s life, (2) choosing how to organize one’s social life and (3) choices that make them feel “at home”.Conclusion: This is one of the first studies on choice and recovery for persons who have transitioned to supported housing. Findings reveal the need for research to move beyond focusing on choice of housing (e.g. housing type) and explore the scope and relevance of choice in housing.
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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 | 0.001 | 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 | 0.001 | 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".