“Intercultural Encounters”: Mentorship Relations as Spaces for Critical Intercultural Learning in Higher Education Institutions (HEIs)
Bibliographic record
Abstract
There are growing numbers of African international students studying at Higher Education Institutions (HEIs) in North America and the United Kingdom. Intercultural mentoring is one response to supporting students in navigating the complex cultural, social, and academic transitions from home to host countries. This article examines the experiences of 18 participants who had recently mentored African international students attending higher education institutions in Canada or in the UK. Semi-structured interviews with participating mentors were transcribed and analysed from a critical intercultural perspective. Results highlight four themes that provide insight into mentors’ approaches to intercultural mentoring: navigating fields of action and intervention, engaging in reflective practice, intercultural mentoring as a relational practice, and mentoring as a decolonising practice. Study findings provide insight into how intercultural mentoring relationships develop and evolve and how mentors approach mentoring relationships as sites that hold transformative learning potential for both mentors and students.
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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 | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.021 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".