The Influence of Transnational Cultural Capital on Black Immigrant and Refugee Youth Perspectives of School Discipline
Bibliographic record
Abstract
Studies that focus on youth’s perspectives of school discipline seldomly highlight immigrant and refugee youth’s viewpoints. Meanwhile, the influence of newcomer parents’ cultural capital is often assessed to investigate social mobility while their children’s pre-migration cultural capital remains largely understudied. Drawing from Bourdieu’s social reproduction theory, this study illustrates how transnational cultural capital affects Black newcomer high school students’ perspectives of school discipline. This qualitative inquiry involved semi-structured interviews conducted with 28 Black newcomer adolescents between the ages of 16 and 19 in Ontario, Canada between 2019 and 2021. We find consistent with prior Canadian studies that the participants reported concerns regarding bias, anti-Black racism, and the lack of fairness of school discipline interventions. Yet, their views also diverged since they perceived that everyday civility and behavioral expectations in the classroom were lenient when compared with their country-of-origin education systems. These findings reveal the significance of examining newcomer youth’s transnational cultural capital and not only parental cultural capital. The conclusions also point to the relevance of investigating transnational cultural capital in aspects of education other than academic achievement and social mobility. This study also reveals the importance of considering the intersectionality of the migration status and racial identity of French-speaking and English-speaking Black newcomer youth when we analyze their school experiences.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".