Mental Health Issues Affecting Refugee Youth in Canada who Experienced Family Loss and Separation in their Country of Origin
Bibliographic record
Abstract
The objective of this article is to understand the key mental health problems affecting unaccompanied refugee youth in Canada who experienced family loss and separation in their country of origin. This article is based on a research project that adopted a multi-phase sequential research design/strategy. This strategy entails that the first phase consisted of a scoping literature review to synthesize existing evidence and to identify knowledge gaps related to post-migration effects of loss and separation on the well-being of refugee youth and their families. The data collection phase included two focus groups with service providers and three focus group sessions with the refugee youth themselves. Refugee youth face several mental health problems resulting from pre-migration, peri-migration, and post-migration conditions. This study demonstrated that a significant number of unaccompanied refugee youth experience mental illness. The most commonly reported mental illnesses among the youth were post-traumatic stress disorder (PTSD), depression, and anxiety. Many of the refugee youth developed coping strategies to help deal with their sadness about family loss or disappearance and the circumstances they were currently in surrounding their settlement. The article concludes that experiences of separation from or loss of one or more family members affect refugee youth's mental health negatively. Nevertheless, most refugee youth approached for this study were not interested in talking about these, due to their perceived stigma and aversion to openly discussing mental health issues. The current support service and policies in Canada are serving refugee youth to meet their needs partially. There is an opportunity to build the capacity of the service providers with generated evidence, make the service navigation tools more user-friendly, and advocate amendment of the policies to address the real needs of the separated refugee youth.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".