Ukrainian refugee women’s experiences of settlement and navigating health and social services in Canada
Bibliographic record
Abstract
This qualitative descriptive study explores Ukrainian refugee women’s settlement experiences and how they negotiate the social and health care services to support their mental health and well-being in Canada. Utilizing an intersectional lens data from the lived experience of 16 Ukrainian refugee women was thematically analyzed. Four prominent themes emerge from the women’s narratives of their migration and settlement journey – a) confluence of oppressions; b) multifaceted and interwoven paths to cultural integration and adaptation, c) convergence of identity in professional development; and d) navigating settlement. Research findings reveal the complexities of self-reconstruction and socialization as experienced by refugee women. We are of the opinion that hosting refugee women in a new country and providing hope for a new life mean offering them meaningful choices built on forms of affordable and accessible culturally appropriate health and social services and ensuring that their settlement and integration in their new country is successful.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".