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Record W3177820901

Mental Health and Well-Being Among Tamil Youth of Sri Lankan Origin Living in Toronto: A Mixed Methods Approach

2020· dissertation· en· W3177820901 on OpenAlexaboutno aff
Babitha Shanmuganandapala

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsTamilMental healthSri lankaGeographySociologyPsychologySocioeconomicsPsychiatryPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.258
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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