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Record W4410585849 · doi:10.1515/jtc-2025-0008

Race, Mobility, and the Contradictions of International Higher Education

2025· article· en· W4410585849 on OpenAlexaffabout
Sibo Chen

Bibliographic record

VenueJournal of Transcultural Communication · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRace (biology)SociologyPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Abstract This essay reviews Parallel Societies of International Students in Australia (Gomes, Catherine. 2021. Parallel Societies of International Students in Australia: Connections, Disconnections, and a Global Pandemic , 1st ed. United Kingdom: Routledge), International Students at US Community Colleges (Malveaux, Gregory F., and Krishna Bista, eds. 2021. International Students at US Community Colleges Opportunities, Challenges, and Successes . London: Routledge), and International Students from Asia in Canadian Universities (Kim, Ann H., Elizabeth Buckner, and Jean Michel Montsion, eds. 2023. International Students from Asia in Canadian Universities : Institutional Challenges at the Intersection of Internationalization, Inclusion, and Racialization . 1st ed. New York: Routledge). Collectively, the books elucidate the social and institutional conditions that govern the experiences and coping strategies of international students in three popular study-abroad destination countries: the United States, Canada, and Australia. Through interdisciplinary lenses (e.g., policy analysis, critical race theory, and media ethnography), they examine the lived experiences of international students in terms of mobility, exclusion, and adaptation, highlighting the disjunctures between internationalization rhetoric and practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.368
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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