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Record W4403086805 · doi:10.47678/cjhe.v54i1.190069

Systemic Racism in Canadian Higher Education: A Rapid Scoping Review of 22 Years of Literature

2024· article· en· W4403086805 on OpenAlexaffvenueabout
Jerome Cranston, Alexandria Bennett

Bibliographic record

VenueCanadian Journal of Higher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of OttawaUniversity of Regina
Fundersnot available
KeywordsRacismHigher educationRacial biasSociologyPolitical scienceSocial sciencePedagogyGender studiesLaw

Abstract

fetched live from OpenAlex

Although the ideals of higher education promote learning and personal growth irrespective of an individual’s social identity including their perceived or declared race, systemic racism continues to subject Indigenous, Black, and otherwise racialized students, staff, and faculty to unwelcoming academic cultures and, at times, hostilities. The aim of this rapid scoping review was to identify and analyze some of the available peer-reviewed, published research literature between 2000 and 2022 focused on systemic racism in the Canadian higher education context. The authors analyzed 32 articles included in the scoping review to identify the theoretical frameworks used to situate each study. In addition, the analysis surfaced concepts related to how systemic racism is structured and enacted. Using a thematic analysis, a narrative summary is also presented to describe the experiences of Indigenous and racialized staff, students, and faculty. This study offers insight to those committed to building healthier academic communities through understandings of systemic racism as it is theoretically framed, conceptualized, and experienced.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.347
Teacher spread0.322 · 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.

Study designNot applicable
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

Citations4
Published2024
Admission routes3
Has abstractyes

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