Mental health of Latin Americans in Canada: A literature review
Bibliographic record
Abstract
BACKGROUND: Latin Americans represent one of the fastest-growing immigrant populations in Canada. But very little is known about their mental health. AIMS: This paper reviews the literature on the mental health of Latin American immigrants to Canada. The paper also identifies potential areas to expand the research agenda. METHOD: Twenty-five papers were identified by a comprehensive electronic search undertaken in medical- and humanities-related databases. RESULTS RESULT: s are reported in three sections: (1) the rates of mental illness; (2) the risk factors that affect mental health; and (3) the access and barriers to care and services. Findings indicate that despite the diversity of immigration from Latin America to Canada, much of the information on mental health focuses on Central American refugees. The most frequently examined risk factor is displacement as a consequence of political persecution and torture in the home country. Access to mental health services in this population seems to be limited by cultural differences and language barriers. CONCLUSION: New research on this topic should reflect the growing diversity and heterogeneity of the Latin American population in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".