Navigating Identity and Belonging: The Experiences of Black African Refugee Youth in Higher Education Institutions in Canada
Bibliographic record
Abstract
This study documents the lived experiences of Black African refugee youth within Canadian post-secondary institutions by positioning the interviewees as collaborators and knowledge producers.It applies a narrative inquiry approach focusing on 9 WUSC Scholars who arrived in Canada between 2010-2019 and currently attend or have graduated from higher education.A narrative inquiry approach is utilized to understand the migration and resettlement experiences of the interviewed scholars.Drawing on data from the interviews, my experiences as a WUSC Scholar, and an analysis of literature on refugee youth, I argue that due to the intersections of their identities and everyday experiences of anti-black racism, xenophobia, and misogynoir, Black African refugee youth navigate Canadian post-secondary institutions in particularly distinctive ways compared to their peers.The data collected shows that although WUSC Scholars are provided with a life-changing educational opportunity, it also presents many challenges which inform their creating/finding of belonging in Canada.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.044 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.009 |
| 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".