Mental Health Needs Of French Immigrants In Canada
Bibliographic record
Abstract
AbstractImmigrants and refugees are at higher risk for mental health problems having many personal and social factors associated with immigration.Purpose:To examine the perspective of Francophone immigrants with respect to their needs, access to services and use of emotional support. Method: Face to face interviews were conducted with 60 newcomers from Winnipeg, Saskatoon and Ottawa, cities with French minority groupsResults: When integrating Canadian society, in a minority linguistic context, Francophone immigrants face social isolation partly related to language. Language barrier has a significant impact on employability. Challenges facing Francophone immigrants have an impact on their emotional well-being. Family, friends, religious and cultural communities play a key role in emotional support. Language and cultural adaptation were determining factor in assessing the quality of services received by newcomers.Main recommendations would be to better inform immigrants of realities of living environments in minority linguistic context, emotional health and well-being, in services offered in the official language of their choice and benefits of formal services use. Increase the provision of emotional support services for newcomers and tailor services to specific needs of subpopulations, including men, the elderly, students and those with young children. Better integrate support services, both in health institutions and community services, religious authorities, and community leaders by creating partnerships between stakeholders working within these services. Finally, the lack of cultural sensitivity is felt in the health system organization, with limited access to services in the official minority language and to professionals from various ethno-cultural backgrounds.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".