Living in Transition to Teacher Education in Canada: Personal Reflections and Portraits of Two Vietnamese Female Doctoral Students
Bibliographic record
Abstract
Living in transition while studying teacher education leads to multiple challenges for doctoral students as they situate themselves in the intersections with new sociocultural environments. The navigation process affects their personal and professional self-formation in constructing and reconstructing their multiple identities-making. In this paper, we, two Vietnamese female teachers, examine our life experience transitioning from Vietnamese to Canadian culture while pursuing our doctoral studies. The collaborative autobiography allows us to reflect, retell and relive our stories since we arrived in Canada. Through deconstructing our stories, we were amazed at the resonances of our tensions in new life-making experiences and perspective transformation in learning and conducting research. We hope our experiences are promising to shorten the gap in understanding experiences of those doctoral students composing life in similar education landscapes, which helps ease their difficulties and cultivate their academic and professional achievements. We also contribute more personal, social, cultural, and familial narratives to the dominant institutional narratives of Canadian teacher education.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.038 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".