Language, Culture, and Education in an Internationalizing University
Bibliographic record
Abstract
This book offers a multi-dimensional analysis of the experiences of faculty, students, and staff at a Canadian university that emphasizes international education, providing an ethnographic lens for understanding globalization and internationalization of higher education on a wider, global scale. The collaborative work of multiple authors based in different departments and roles within the university offers a holistic picture of current international education policies and practices, and how they coalesce to shape the experiences of all affected stakeholders. The book focuses on questions of cultural difference and the development of intercultural capital. and highlights engagement with English dominance, language matters and multilingualism in everyday experiences and pedagogical practices in the institution. The contributors address implications for attending to linguistic and cultural diversity in the policies and practices of an Anglo-dominant university that are applicable to similar contexts worldwide. As a self-study from a reputed university, the book provides valuable insights for higher education program leaders and decision makers to strategically rethink the value and quality of the internationalization activities they engage in, their scholarship and creative activities, and, above all, their commitment to ethical internationalizati
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".