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Record W4402374745 · doi:10.3390/genealogy8030115

Negotiating University, Fulfilling the Dream: The Case of Black Students

2024· article· en· W4402374745 on OpenAlexaffabout
Carl E. James, Michael Asres

Bibliographic record

VenueGenealogy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsYork University
Fundersnot available
KeywordsDreamNegotiationSociologyPolitical sciencePsychologySocial sciencePsychotherapist

Abstract

fetched live from OpenAlex

The experiences of Black students in Canadian higher education shed light on the societal and institutional challenges that influence their social and economic aspirations. In today’s societal and economic context, obtaining a postsecondary education degree is not just preferred but essential for securing the employment opportunities that most young people desire. For Black communities in particular, a university degree is often seen as the primary pathway to upward social mobility. However, Black students’ journeys toward higher education are frequently hindered by systemic barriers and institutional challenges. While there is extensive literature detailing the systemic forces that obstruct access to higher education for Black Canadians, there is limited academic focus on how these forces continue to affect Black students once they enter higher education. This article addresses this gap by investigating the educational experiences of Black students in Canadian universities, emphasizing the challenges posed by systemic racism and institutional barriers. Utilizing data from interviews and focus groups with Black undergraduate and graduate students from a university in the Greater Toronto Area (GTA), the study explores how historical and contemporary issues of anti-Black racism shape their academic journeys. It discusses the broader implications of these experiences and highlights the need for comprehensive institutional reforms to create genuinely inclusive and equitable educational environments. By centering the voices of Black students, this research aims to contribute to the ongoing dialog on racial equity in higher education.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.359

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 studies0.0000.001
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 head0.025
GPT teacher head0.384
Teacher spread0.360 · 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
Published2024
Admission routes2
Has abstractyes

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