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Record W4409413350 · doi:10.61186/johepal.6.1.90

North/South Hierarchies: The Coloniality of Refugee and Asylum Seeker Access to Education as an Epistemic Good

2025· article· en· W4409413350 on OpenAlexaff
Zuhra Abawi

Bibliographic record

VenueJournal of Higher Education Policy And Leadership Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsNiagara College
Fundersnot available
KeywordsRefugeeSociologyPolitical scienceCriminologyEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

This conceptual piece explores the differential treatment of refugee and asylum-seeker access to higher education as an epistemic good within host-nation states along racialized hierarchies and geographies.By drawing on Fricker's concept of epistemic injustice, this work problematizes the discourses of deservingness in relation to refugees and asylum-seekers of the Global South accessing such state goods of the Global North; and the power relations that undergird constructions of humanity.The paper discusses barriers to refugee and asylum-seekers with respect to policies and practices within higher education in host nations of the Global North, in particular, the UK and EU; and how such policies and state actions operate against the backdrop of whiteness and coloniality.The paper outlines extant policies pertaining to the rights of refugees and asylum-seekers in accessing education; the politics of othering people of the Global South; and explores the possibilities for anti-colonial resistance and racial equity in education in the European context and beyond, as refugee populations are projected to surge across the globe.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.116
GPT teacher head0.467
Teacher spread0.350 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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