Engaging Adults Experiencing Homelessness in Recovery Education: A Qualitative Analysis of Individual and Program Level Enabling Factors
Bibliographic record
Abstract
PURPOSE: Recovery Education Centres (REC) in mental health offer a new model of providing recovery supports through emancipatory adult education and recovery-oriented service principles. Despite the widespread adoption of RECs, there is limited evidence regarding factors enabling engagement and participation, particularly for unique subpopulations or service delivery contexts. The Supporting Transitions and Recovery Learning Centre (STAR) in Toronto, Ontario is the first REC in Canada and one of few worldwide supporting adults transitioning out of homelessness. This research aimed to investigate individual and program level enablers of engagement and participation in a REC for this population. METHODS: Qualitative methods were used to explore the experiences of 20 service user participants through semi-structured interviews exploring their experiences of REC participation and perceived key program features. Interviews were conducted between July 2017 and June 2018, six to 14 months following REC enrollment, and analyzed using inductive thematic analysis. RESULTS: In contrast to past experiences with health and social services, participants described a welcoming and respectful physical and interpersonal environment with low-barrier seamless access facilitating their engagement and participation. Although the realities of homelessness presented barriers for some, participants described that the involvement of peers, as role models, and the self-directed, strengths, and skills-based curriculum, co-produced and co-delivered by peers and professionals, were instrumental in activating the process of recovery through education. CONCLUSIONS/IMPLICATIONS: Findings are consistent with the growing evidence base of the defining features of RECs and suggest this model can be successfully extended to support recovery among adults transitioning out of homelessness. This unique examination of Canada's first REC for adults exiting homelessness can help guide program and policy development to better support this disadvantaged population.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".