The Lived Experience of Syrian Refugees in Canada: A Phenomenological Study
Bibliographic record
Abstract
Health care providers in Canada are expected to take care of people from a variety of cultural backgrounds, and it is difficult for health care providers to deeply understand the lived experiences of some individuals to provide them with culturally sensitive care. Syrian refugees comprise one such group of newcomers to Canada. This phenomenological study aimed to uncover the meaning of the lived experiences of Syrian refugees using Giorgi’s (2009) method. Seven participants’ descriptions were viewed through the lens of the social determinants of health model. Seven essences of the general structural description or the meaning Syrian refugees gave to their experiences of living in Canada were synthesized. Syrian refugees live paradoxical experiences that are both rewarding and less rewarding when viewed through the lens of the social determinants of health (social support, environment, culture, education, health services, employment, and income). These experiences have influenced their health in both positive and negative ways. This study highlights the need for more culturally sensitive health care interventions and assistance for Syrian refugees/newcomers in Canada. As a next step, an action research study involving Syrian refugees as co-researchers may help address the social determinant of health risks in this population.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.039 | 0.024 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".