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Record W4410796805 · doi:10.5539/hes.v15n3p63

The Impact of Historical Racism on African American College Enrolment Rates from Reconstruction to the Present

2025· article· en· W4410796805 on OpenAlexvenueno aff
Promethi Das Deep

Bibliographic record

VenueHigher Education Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRacismRacial biasRacial differencesHigher educationMathematics educationPsychologySociologyPedagogyDemographyEthnic groupPolitical scienceGender studiesAnthropologyLaw

Abstract

fetched live from OpenAlex

Racial inequality still strongly affects colleges and universities in the American South, particularly those that were historically segregated. This study examines the historical and ongoing impact of institutional racism on African American enrollment at Sam Houston State University (SHSU). This qualitative study draws on historical documents, university archives, and scholarly literature to examine exclusionary admissions, SHSU’s desegregation response, enrollment trends, and lasting institutional erasure. The findings show that although SHSU officially desegregated in 1964, informal policies, institutional silence, and weak structural support continued to limit access and inclusion. Today, many African American students report feeling isolated, fatigued by racial stress, and underrepresented. Initiatives like the ELITE (Establishing Leadership In and Through Education) program and the Race and Reconciliation Project represent efforts to support minority students and acknowledge the university's legacy of exclusion. However, these programs are not enough on their own. Achieving true racial equity at SHSU will require sustained structural reform, inclusive leadership, and a fundamental rethinking of the university's cultural and historical identity.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

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 studies0.0020.001
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 head0.051
GPT teacher head0.464
Teacher spread0.413 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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