International Doctoral Students’ Navigations of Identity and Belonging in a Globalizing University
Bibliographic record
Abstract
This article draws on findings from a broad study on the influences of globalization on the experiences of international doctoral students at a large, research intensive Canadian university. It focuses specifically on these students’ lived experiences of change in their national identities and senses of belonging in a globalizing world. Using a qualitative, multiple case narrative approach, students’ experiences were collected via in-depth interview and analyzed through a theoretical lens of transnational social fields. The study found that international doctoral students experienced multiplicity, ambiguity, and flux in their senses of self, belonging, and educational purposes as they engaged in the transnational academic and social spaces of the university. Their narratives are revealing of the ways that international doctoral students consciously construct identities that traverse national affiliations as they engage in higher levels of mobility and interact with highly internationalized environments and networks. The study contributes insight into the transformative nature of international doctoral study and identifies specific ways in which processes of globalization influence the international doctoral student experience.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.001 | 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".