Bibliographic record
Abstract
Applying a critical and holistic framework, International Students in Higher Education: Language, Identity, and Experience from a Holistic Perspective explores the lived experiences of four multilingual international students at a Canadian University. Vander Tavares investigates how the students experience life in the host community, construct their multiple identities, and develop their proficiency in the English language. Additionally, Tavares examines the ways in which the institutional context impacts the students’ experiences by foregrounding the voices of domestic students, faculty and support staff, and their experiences and perspectives on international students, multiculturalism, and multilingualism. Drawing from theories of cultural and social psychology, post-structuralism, multilingualism, and a sociocognitive approach to second language acquisition, this project presents rich ethnographic portraits of the students’ experiences. This contextualised and humanised portrayal of the students’ individual journeys challenges the prevailing discourse of deficit that has traditionally been used to characterise the multilingual international student experience. Overall, this book demonstrates that an ethical understanding of multilingual international students’ experiences requires critical attention to the sociocultural and sociolinguistic contexts of their academic communities and a holistic approach that considers the multiple domains of lived experience that the students navigate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".