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Record W3205133136 · doi:10.5430/ijhe.v10n6p238

Students with Disabilities at Two Higher Education Institutions Selected from South Africa: A Social Model of Disability

2021· article· en· W3205133136 on OpenAlexvenueno aff
Mogomme Alpheus Masoga

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
FundersDepartment of Higher Education and Training
KeywordsDeskPublic relationsHigher educationPsychologyMedical educationSocial integrationAcademic communityPolitical sciencePedagogyEconomic growthSociologySocial scienceMedicine

Abstract

fetched live from OpenAlex

Learners with disabilities are faced with unprecedented challenges in their pursuit of integration in the institutionalized higher education system in South Africa. The aim of this paper is to explore the recruitment and integration of students with disabilities (SWDs) at selected rural universities in South Africa in terms of facilities for physically challenged students. Personal conversations and informal discussions and desk and documentary research have collectively informed the present discourse. By utilizing a social model of disability, this study proposes that both institutions need to accelerate the provision of user-friendly facilities to accommodate various categories of SWDs either currently enrolled or those aspiring to study at the institutions. Considering the evaluations and observations explored in this opinion paper, the academic community of both institutions will need to pay attention to the special needs of SWDs because the absence of this attention will negatively impact the outcome of the academic life of learners.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.074
GPT teacher head0.408
Teacher spread0.334 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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