Reflections on Migration, Resilience, and Graduate Education
Bibliographic record
Abstract
In response to the refugee crisis, it is important to invest in and support refugee education especially at the tertiary level. As displaced individuals rebuild their life upon resettlement, education opportunities are vital to equip them with the knowledge and skills needed to gain meaningful employment, especially since displacement often puts refugee’s education and careers on hold. Displaced girls and women, who might be unaccompanied, pregnant, or disabled, are especially vulnerable in the process of forced migration, education, and resettlement. In this chapter, we explore our personal and pedagogical narratives of migration and resilience as they relate to learning, teaching and mentoring in graduate education. Consistent with the principles of reflexive ethnography and cultural humility, we examine our experiences, beliefs, and cultural identities using semi-structured reflective processes to share and deconstruct our individual and familial experiences as displaced persons, graduate students, instructors, and mentors in the era of heightened economic and political uncertainty, global environmental crises, and the worldwide forced displacement of people. We highlight the importance of honouring the strengths and capacities of female graduate students with refugee backgrounds while creating safe spaces for listening to the women’s learning needs and desires. Finally, we discuss our engagements in labour intensive and time consuming mentorship that afforded academic coaching, skill training, and professional capacity building while supporting women’s sense of agency and socialization into academia and Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".