Syrian Refugees’ Experiences in Canada and the Implications on Mental Health
Bibliographic record
Abstract
The Syrian refugee population represents an unprecedented number of migrants in Canada. Vulnerable citizens and their families sought safety in Canada. Given the influx of refugees in Canada who were forced to leave their home country due to the civil war, the impact of the life adversities they experience as they transition to a new country cannot go unexamined. Thus, this narrative review responds to an integral research question: What are the implications of barriers that Syrian refugees experience in their integration process? The literature review examines the integration of Syrian refugees in Canada by accounting for their traumatic experiences in Syria and their post-migratory experiences during their transition in Canada. The review considers two core themes: (a) the significance of culturally appropriate healthcare services for Syrian refugees’ acculturation in Canada, and (b) how Islamophobia and discrimination that many refugees experience serve as an obstacle in their integration. The study also discusses findings that shed light on such themes’ implications for Syrian refugees’ mental health.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".