Bibliographic record
Abstract
International students experience both challenges and possibilities when they situate themselves in new sociocultural environments. The process of intercultural learning affects their self-formation and construction of their multiple identities. This self-reflective paper examines my experience as an international doctoral student transitioning from a Vietnamese cultural background to Canadian culture. By using concentric storying to deconstruct my journal entries, I found recurrent themes of conflicts and tensions emerging through different dialectical processes in my journey of becoming an intercultural doctoral student. My intercultural learning exposed my vulnerable self while I searched for my core values and beliefs. This journey has brought profound changes in making meaning of my adventure in transnational space. My story may shed light on the understanding of life in transition and provide direction for other international doctoral students seeking to enhance their intercultural competence in a similar educational landscape.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".