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Record W7056557657

An exploration into the social impact of COVID-19 on persons with disabilities living in Kumasi, the Ashanti region of Ghana

2023· dissertation· en· W7056557657 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsPopulationData collectionInterpretation (philosophy)InterviewQualitative researchGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Although simulations from literature evidence and theories about the vulnerability of people with disabilities abound, the effects of the COVID-19 pandemic on people with disabilities is largely unexplored in Ghana, thereby creating a research gap. In this study, the social and economic impacts of the pandemic on people with physical and visual disabilities were probed. The empirical evidence was gathered from the Ashanti region of Ghana, a known region with a high population of disabled people. The phenomenological research design was utilized, as it aided in studying the lived experiences of disabled people. Ethical approval was sought from the Human Ethics Office (HEO) of the University of Manitoba, while permission was sought from the Ghana Blind Union and Ghana Association of the Physically Disabled, Kumasi chapters. Using the purposive sampling technique, physically and visually impaired people were recruited if they met the following criteria: (i) 18 years old and above; (ii) willing to be interviewed; (iii) willing to be recorded; (iv) willing to voluntarily provide informed consent to participate in the study; and (v) able to communicate in Ashanti Twi or English language – the commonly spoken languages in the study area. In-depth telephone interviews were used as the data collection tool for this study, while the interview guide served as the data collection instrument. The data was analyzed to reflect the Interpretative Phenomenological Analysis (IPA) as double hermeneutics where participants interpret their experiences, then the researcher interprets the interpretation of their experiences. High awareness of COVID-19 and perceptions ranging from the transmission and deadly attribute of the viral disease was prevalent among the participants. The participants also perceived physical distancing, the wearing of masks and good hygiene practices as means of preventing the spread of the virus. Negative social impacts ranging from isolation, loneliness and feeling dejected – all which deleteriously impacted their mental and psychosocial health. Lastly, varied economic impacts – increased demand for essential goods and services (resulting in high revenue for traders), decreased economic activities – leading to business closures, retrenchment, and high cost of living amid declining incomes were also found among persons with disabilities. Access to support from social networks and the state in addition to religious bodies moderated the economic impacts of COVID-19 on disabled people. Economic recovery programs that are disability-centered must be implemented to offset the economic implications of the pandemic, while mental well-being and psychosocial factors must be factored into disaster management programs to lessen the social impacts of crisis of this nature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.271
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2023
Admission routes2
Has abstractyes

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