Breaking Barriers: The Impact of Peer Support on Mental Health among South Asian Youth
Bibliographic record
Abstract
Numerous studies have reported a steady rise in mental health concerns within South Asian Canadians that are often left untreated and unmet. South Asian Canadian youth (15+ years old) in particular have been reported as one of the least likely groups to access mental health supports that are readily available to them. This qualitative study sought to investigate the service access barriers experienced by South Asian youth populations in Canada and explore the potential peer support interventions may have on mitigating the barriers to mental health access. Semi-structured interviews were carried out with South Asian youth (16-25 years old) living in Peel Region (Brampton, Mississauga, Caledon), that is home to a significant proportion of Ontario’s South Asian population. Participants (n=19) shared their personal experience regarding accessing mental health support and peer support. The data was analyzed utilizing a thematic analysis approach. The study revealed how, despite obvious limitations such as adequate training, turning to peer support and mental health supports offered in school settings helped the youth to navigate their issues. They offered recommendations for how peer support programs could be structured and explained to South Asian communities in order to improve youth mental health. These findings suggest a potential role peer support interventions may provide through alignment with South Asian youth’s cultural identity to address the barriers that have arisen in mental health access.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".