Trends in Mental Health and Challenges Experienced by South Asian Diaspora
Bibliographic record
Abstract
The objective of this literature review was to investigate the mental health trends of the South Asian diaspora. Past research conducted in the United States, United Kingdom, and Canada indicates South Asians struggle with common mental disorders such as depression and anxiety and are less likely to seek psychological help. The healthy immigrant effect suggests that immigrants face unique stressors including acculturative stress and challenges such as loss of social status and support, which can predict poor psychological being. South Asian values of shame and honour can perpetuate stigma, in addition to structural barriers which prevent individuals from seeking help. These factors have been cited by South Asian youth, women and aging individuals. South Asians are also more likely to report psychological distress as somatic symptoms and have non-Western conceptualizations of mental health. Although limited in number, literature highlights the importance of incorporating family and community-based interventions, education for practitioners to increase culturally-informed practices, and awareness campaigns to combat the stigma within South Asian communities. Future research should focus on identifying the needs and investigate the mental health of South Asians living in Canada to further guide treatment and advocacy efforts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".