Perspectives of Refugee Youth Experiencing Homelessness: A Qualitative Study of Factors Impacting Mental Health and Resilience
Bibliographic record
Abstract
Homeless refugee youth experience high rates of traumatic and adverse experiences, a significant burden of mental health needs, and compounded barriers in accessing support services. Despite this, there is a paucity of literature exploring the unique intersections and vulnerabilities faced by this subgroup. This study of Youth Without Shelter (YWS), an emergency residence and referral agency serving homeless youth in Toronto, Canada was a qualitative study of homeless refugee youth. Research goals were to describe the mental health needs and identify the factors contributing to the resiliency of refugee youth experiencing homelessness. Data was collected through individual semi-structured interviews with YWS youth (n = 6) and analyzed using inductive thematic analysis with a realist lens. Results highlighted that the mental health of refugee youth experiencing homelessness was subject to system-level factors such as the immigration process (n = 6), housing insecurity (n = 5), finances (n = 5), education (n = 6), employment (n = 6) and sense of safety (n = 4), with acculturative stress, including culture shock (n = 3) and language (n = 4), also have negative effects. Goal directedness (n = 5), independence or responsibility (n = 4), and nurturing social connectedness with family (n = 5), peers (n = 6), and community (n = 4) contributed to participants' resilience. A model for planning future interventions was proposed and was informed by the lived experience of participants. This model focuses on initially on immediate and basic needs and reflected evidence gathered through this work to attend to long-term needs once individuals have integrated into society. Future efforts will be directed toward translating the lived experience of this population and developing practice guidelines to optimize care.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".