Interrupting the "Model Minority" Narrative: The Voices of Vietnamese Canadian Youth
Bibliographic record
Abstract
This qualitative study explores the impact of the model minority narrative on the educational and social experiences of Vietnamese Canadian youth located in two cities in Ontario, Canada. Critical Race Theory was employed as the main framework in understanding and analyzing these students’ experiences. The study draws on data from semi-structured individual interviews with 15 Vietnamese Canadian high school students. Given the unique demographics of the students, the themes that emerged from this study support the notion that Vietnamese Canadian youth are not a homogeneous group. Their range of academic abilities, achievements, and aspirations are broad. Their stories and experiences are diverse and defy the “model minority” narrative. Based on the findings, the “model minority” stereotype is still in existence and the way in which it shapes the educational and social experiences of these students is complex. The data was divided into six overarching themes. The themes raise important questions about issues of race and racism in educational settings and on racialized students’ educational and social experiences in school.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.041 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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 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".