Overview of Culturally-Based Mental Health Care in Vancouver
Bibliographic record
Abstract
This article is a description of how cross-cultural services in mental health have evolved in Vancouver. With 49% of Vancouver's total population described as a 'visible minority' by Statistics Canada, it has been essential for the city, in its efforts to provide health care that is accessible, available and acceptable to all, to develop health care that acknowledges racial and cultural diversities. Vancouver's Cross Cultural Mental Health Services had their beginnings over 25 years ago. The services encompass both formal and informal sectors of the healthcare system, are provided at primary, secondary and tertiary levels of healthcare delivery and are available through hospital- and community-based services. With recent regionalization of British Columbia's health services, the cross-cultural mental health service has experienced increased coordination under the administration of the Vancouver Coastal Health Authority (one of six British Columbia health regions). The initial elements of a cross-cultural mental health service consisted of the Vancouver Association for the Survivors of Torture, the Cross-Cultural Clinic at Vancouver General Hospital, and the Multicultural Liaison Workers Program of the Vancouver Community Mental Health Service. Collaboration and partnerships between the formal and informal sectors support each other, bridge gaps in services and provide a milieu for growth and development.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".