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Record W4405029258 · doi:10.5206/cie-eci.v53i3.16855

“People Would Just Say, ‘That Doesn’t Exist’”: An Analysis of the Experiences of Racialized International Students as Settler Colonial, Racial, and Gendered Violence

2024· article· en· W4405029258 on OpenAlexaffvenueabout
Hijin Park, Margot Francis

Bibliographic record

VenueComparative and International Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsBrock University
Fundersnot available
KeywordsColonialismRacismCriminologySociologyRace (biology)Gender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

A growing body of scholarship reveals that racialized international students in the West are disproportionately vulnerable to exploitation and violence on and off university and college campuses, and in public and private spaces. This harm may be due to the actions of individuals (such as landlords, employers, fellow international students, non-international student classmates, professors, strangers, and members of their ethnic communities), as well as the policies and inaction of institutions and governments. These institutional and systemic factors include precarious immigration status and visa and immigration requirements, unregulated homestay programs, unregulated tuition fees, and the intersections of racism, sexism, xenophobia, and Islamophobia. This paper draws on interviews with racialized international students and university employees who provide services to international students at a comprehensive university in Ontario, Canada, and argues that the everyday and structural violence the students may face is best understood as constitutive of the violence of White settler colonialism.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.512
Teacher spread0.425 · 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 designQualitative
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

Citations1
Published2024
Admission routes3
Has abstractyes

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