From Passive Recipient to Community Advocate: Reflections on Peer-Based Resettlement Programs for Arabic-Speaking Refugees in Canada
Bibliographic record
Abstract
The current study explores the impacts of peer support programs on recently resettled refugees to Canada. This research uses qualitative data that was collected from service users as part of a broader formative evaluation of a regional mental health initiative; the Promise of Partnership. This initiative arose from a need to proactively address the resettlement issues experienced by refugees in the Region of Waterloo. The analysis focusses specifically on the impacts to refugees involved in Arabic-speaking peer support groups as understood through the theoretical framework of the ecological model. Findings from the analysis locate key benefits to participants across the interpersonal, organizational, and community levels of the model, revealing the interwoven and impactful nature of peer support amongst participants and their broader community. Given the unprecedented influx of Syrian refugees to Canada, we argue for the continued implementation of peer support groups as a source of mental wellness promotion, empowerment, and a broadened sense of community.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.012 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| 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".