Mental Health and Well-Being Among Tamil Youth of Sri Lankan Origin Living in Toronto: A Mixed Methods Approach
Bibliographic record
Abstract
Literature on the mental health of Tamil youth of Sri Lankan origin living in Canada is scant. In this study, I applied an interpretive descriptive approach to explore, discover, and understand the meanings, beliefs, practices, and experiences of health, well-being, and mental health of thirteen first and second-generation Sri Lankan Tamil youth. I used a convergent parallel mixed methods research design and applied an emancipatory approach to informing culturally competent mental health nursing practice, influenced by critical race, postcolonial feminist and intersectionality theories. Parents, the Tamil community and Tamil culture emerged as major themes reflecting the important roles they play in Tamil youths mental well-being. Experiences related to the Sri Lankan civil war/genocide and immigration appear to impact both collective and intergenerational trauma and resilience. Recommendations include applying a holistic, trauma-informed and integrated/multilevel approach, including traditional and collective methods of healing, capacity building and recognition/acknowledgement of the Tamil Genocide.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".