Identities in Transition from Africa to Canada: Becoming Students
Bibliographic record
Abstract
Students studying abroad are faced with challenges that impact their cultural, social, and economic identities, and this varies greatly depending on their home country and study destination. The transition and inter-cultural learning experiences of international tertiary students from African countries are currently under-examined. Afrocentric theory was employed to interpret the data derived from this qualitative study, which drew upon participatory action research and Photovoice methods to explore how African students navigate transitions to studying in Canada and the strategies they use for creating supportive social resources. As authors, co-researchers, and participants, we identified unique insights on how students build and maintain senses of connections, familiarity, and comfort when away from home, and how they conceptualize, create, and sustain community. These accounts provide insight for mentors, faculty, and policymakers in North American institutions on how they can offer opportunities for holistic learning, cultural integration, and access to valuable mentorship to help students navigate the complex journey of transition.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.043 | 0.012 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".