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Record W4320491063 · doi:10.4102/ajod.v12i0.1119

How did South Africans with disabilities experience COVID-19? Results of an online survey

2023· article· en· W4320491063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrican Journal of Disability · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsImpact
FundersUK Research and InnovationGovernment of the United Kingdom
KeywordsGovernment (linguistics)Political scienceDisadvantagedEconomic growthHuman rightsSocioeconomic statusPopulationLegislationSociologyLawEconomics

Abstract

fetched live from OpenAlex

Background: People with disabilities are a large, disadvantaged minority, comprising approximately 12% of the population. The South African government has ratified international and regional disability treaties but deals with disability rights within general anti-discrimination legislation. There are no specific frameworks to monitor justice for people with disabilities. The study aims to inform further development of disability inclusive mechanisms relating to crises including pandemics. Objectives: This study explored the perceptions of South Africans with disabilities, to understand their experiences during coronavirus disease 2019 (COVID-19), focussing on socioeconomic, well-being and human rights aspects. Method: An online survey tool generated quantitative and qualitative data. Widespread publicity and broad recruitment were achieved through project partners networks. Participants responded via mobile phone and/or online platforms. Results: Nearly 2000 people responded, representing different genders, impairments, races, socio-economic status, education and ages. Findings include: (1) negative economic and emotional impacts, (2) a lack of inclusive and accessible information, (3) reduced access to services, (4) uncertainty about government and non-government agencies' support and (5)exacerbation of pre-existing disadvantages. These findings echo international predictions of COVID-19 disproportionally impacting people with disabilities. Conclusion: The evidence reveals that people with disabilities in South Africa experienced many negative impacts of the pandemic. Strategies to control the virus largely ignored attending to human rights and socioeconomic well-being of this marginalised group. Contribution: The evidence will inform the development of the national monitoring framework, recognised by the South African Government and emphasised by the United Nations as necessary to ensure the realisation of the rights of people with disabilities during future crises including pandemics.

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.

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)0.004
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.330
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.007
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.179
GPT teacher head0.391
Teacher spread0.212 · 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