Guilt, Shame and Model Minorities: How South Asian Youth in Toronto Navigate the Canadian Educational System
Bibliographic record
Abstract
The present study examines issues that South Asian youth face as members of a model minority group. Using 14 semi-structured interviews, South Asian youth (aged 18-26) discussed issues they encountered as they navigated educational institutions in Canada. The study found that participants were not aware of the term model minority. Furthermore, participants received input, either directly or indirectly, from family and community members regarding their career choices. Lastly, participants experienced guilt and shame during decision-making processes, but ultimately chose their own path with [eventual] acceptance from parents. Results indicate that schools in the GTA are not attuned to the needs of South Asian students which often left students at a disadvantage when making future career and educational choices. There is a need for educators, administrators, and policymakers to develop more specialized programs toward helping South Asian youth navigate the Canadian educational institutions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".