“I can’t remember the last time I was comfortable about being home”: lived experience perspectives on thriving following homelessness
Bibliographic record
Abstract
Purpose Strategies for preventing and ending homelessness are frequently measured by their effectiveness on indices of tenancy sustainment. To shift this narrative, we conducted research to identify what is needed to “thrive” following homelessness from the perspectives of persons with lived experience in Ontario, Canada.Methods Conducted in the context of a community-based participatory research study aimed at informing the development of intervention strategies, we interviewed 46 persons living with mental illness and/or substance use disorder [n = 25 (54.3%) unhoused; n = 21 (45.7%) housed following homelessness] using qualitative interviews. A subsample of 14 participants agreed to engage in photovoice interviews. We analysed these data abductively using thematic analysis informed by health equity and social justice.Results Participants described experiences of “living in a state of lack” following homelessness. This essence was expressed through four themes: 1) housing as part one of the journey to home; 2) finding and keeping “my people”; 3) meaningful activity as critical for thriving following homelessness; and 4) struggling to access mental health supports in the context of challenging circumstances.Conclusions Individuals struggle to thrive following homelessness in the context of insufficient resources. There is a need to build on existing interventions to address outcomes beyond tenancy sustainment.
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| 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".