MétaCan
Menu
Back to cohort
Record W2972581821 · doi:10.3968/10931

Disability, the Invisible Handcuff: Challenges Faced by Learners with Disabilities in Institutions of Higher Education in Zimbabwe

2019· article· en· W2972581821 on OpenAlexvenueno aff
Herbert Mandicheta, Vincent Mabvurira, Brighton Ndebele

Bibliographic record

VenueHigher education of social science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsLearning disabilityDisabled peoplePsychologyQualitative researchInclusion (mineral)Sample (material)Disability discriminationPublic relationsSociologyDevelopmental psychologySocial psychologyPolitical scienceSocial scienceApplied psychologyLife style

Abstract

fetched live from OpenAlex

The purpose of this study was to examine challenges faced by learners with disabilities in institutions of higher learning. The research adopted a qualitative approach using a sample of 32 disabled persons in four provinces in Zimbabwe. Data were collected through unstructured in-depth interviews. The results of the study indicate that the term “disability” is a “disabling word” that had limited people with disability to make progress in their lives. Despite their effort to live positively, disabled persons suffer a glut of challenges, which include stigmatization, social exclusion and inaccessibility of facilities and failure to cope with fast moving technology. Disability is used as a ‘dividing curtain’ between those with “disabilities” and those without.”The term has promoted the “them and us dichotomy”. Many people with disabilities are called by nature of their disability instead of their real names especially the visually impaired and physically challenged. This affects people with disability in education, employment arena and their interaction with the wider society.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.997

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 studies0.0000.006
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.387
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueHigher education of social scienceSame topicDisability Rights and RepresentationFrench-language works237,207