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Record W4206985101 · doi:10.5430/ijhe.v11n7p13

Challenges Faced by Racial Minority Students at Justus-Liebig University, Germany and North-West University, South Africa

2022· article· en· W4206985101 on OpenAlexvenueno aff
Didimalang Matsheka, Tendayi C. Garutsa

Bibliographic record

VenueInternational Journal of Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsRacismOppressionPrejudice (legal term)Minority groupCurriculumThematic analysisSociologyHigher educationModel minorityPedagogyGender studiesPolitical sciencePsychologyQualitative researchEthnic groupSocial psychologySocial science

Abstract

fetched live from OpenAlex

Educational institutions are characterised by cultural and institutional racism that is embedded in their structural systems, curriculum and practices that negatively impact the social and academic experiences of racial minority students. Prejudice and discrimination are rooted in hierarchies whereby some cases evidence one directional oppression of a racial group by the dominant or majority group. The study aimed at exploring challenges faced by racial minority students at Justus-Liebig University and North-West University. The study utilized a qualitative research approach in order understand the opinions, experiences and views of racial minority students about their campus realities. Fourteen in-depth interviews were undertaken with racial minority students and findings were analysed through content thematic analysis. The findings revealed that challenges faced by minority racial students from Justus-Lieberg University and North West University were similar. The challenges include but are not limited to; difficulties with interaction with the racial majority group, academic stressors like failure to adapt to high workload, adaptation to the academic climate, language and cultural barriers. This study calls for the development of new policies that pursue a restructuring of the campus environment to make it beneficial to all students. There is a need for universities to establish and maintain inclusive educational programs and policies that can assist minority students to be integrated into the academic systems.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.307
Teacher spread0.280 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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