“Hear Me Out”: An Exploratory Study on the Psycho-Social and Educational Experiences of Racialized, South Asian Emerging and Young Adults
Bibliographic record
Abstract
The South Asian diaspora started immigrating and seeking refuge in Canada in the late 1890s, due to war conditions in the homelands, and to seek better life opportunities. However, they are a neglected, understudied group within psychology and educational research today. Based on other racialized groups' experiences and evidence of disparities, it is important to study this population and identify present disparities and strengths. This dissertation research explores the lived mental health and educational experiences of 22 South Asian, first and second-generation, emerging, and young adults living in Canada, between the ages of 18 – 35 years. The purpose of this study is to identify and understand the intersectional, bi-cultural experiences of this population in navigating life, their strengths, cultural stigma, coping patterns, holistic barriers, intergenerational trauma, ethno-racial identity, and inequity. The emphasis will lie in understanding how their strengths and drawbacks play a role in navigating the mental health careand educational systems and society. Mixed methods are utilized for this research, which include a semi-structured interview, photovoice activity, demographics questionnaire, and the Cross-Cultural Coping Scale. Theory of Psychosocial Development, Critical Race Theory, and Positive Youth Development are the theoretical and conceptual frameworks used to analyze the findings from this study.With a novel approach compared to past research, narratives are presented that help to understand the complex intersectional experiences between South Asian culture, Canadian culture, mental health, education, stigma, intergenerational trauma, coping patterns, and resilience. Participants reported stories about building their ethno-cultural and racial identity, and their negative mental health struggles, which were associated with intergenerational trauma, academic stress, and life pressures from society. They reported the standards for a successful life, according to the South Asian community, which included choosing a career that yielded high financial outcomes and high social prestige. However, this was not the case for many. Regardless of the bi-cultural challenges they faced, the South Asian Canadians showed elevated resilience, with the help of their support systems and adaptive strategies. This novel knowledge can lead to the development of support and resources to assist South Asian Canadians in navigating through life and these systems.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".