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Record W4412844671 · doi:10.25071/28169344.143

An Analysis of Disability in Higher Education

2025· article· en· W4412844671 on OpenAlexafffundabout
Prilly Bicknell-Hersco

Bibliographic record

VenueYU-WRITE Journal of Graduate Student Research in Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychology

Abstract

fetched live from OpenAlex

In Canada, institutions of higher education are deeply rooted in colonial systems of knowledge production, institutionalized racism, and Eurocentric academic traditions. Despite the dismantling of formal legal barriers, Black disabled students continue to be marginalized by the legacies of racism and ableism embedded in academic policies, prevailing attitudes, and institutional cultures. Though there has been significant research focused on understanding the specific barriers faced by disabled students in higher education, much research is still needed on the intersecting challenges encountered by Black disabled women. This paper critically evaluates the essay Being Black and Disabled in University (Métraux, 2023) which draws on a study from Joy Banks, & Michael S. Hughes (2013), and responds to it within a Canadian context, employing a Black feminist disability studies framework. By integrating statistics and findings from the report on The Intersection of Blackness & Disability in Canada (Anderson, 2020) alongside the theoretical insights of Black feminist scholars and disability scholars, this paper foregrounds the nuanced realities of Black disabled students in higher education and advocates for systemic change so that we may implement tangible strategies to better support their experiences and academic outcomes.

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)0.008
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.268
GPT teacher head0.589
Teacher spread0.321 · 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 designObservational
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
Published2025
Admission routes3
Has abstractyes

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