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Record W4412035006 · doi:10.4102/ajod.v14i0.1660

Job satisfaction among people with disabilities in Ethiopia: A cross-sectional survey

2025· article· en· W4412035006 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 · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsQueen's University
Fundersnot available
KeywordsSalaryJob satisfactionGovernment (linguistics)PsychologyCross-sectional studyPublic sectorMedicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Background: Job satisfaction among people with disabilities (PWDs) is a significant concern because of its impact on productivity, job retention and well-being in the workplace. Objectives: This study aimed to assess the job satisfaction of employees with disabilities in Ethiopia and to identify key factors influencing job satisfaction. Method: A cross-sectional survey was conducted with 784 Ethiopian government employees with various disabilities. All interviews were conducted in 2021.The survey was designed to collect key socio-demographic information, and factors related to job satisfaction. Results: The majority of respondents had motor difficulties (59%), followed by visual impairments (36.7%). The mean age was 33 years, and 67% were male. Over half of the study participants were first-degree holders, and 80.6% had experienced integrated education. The mean time to secure a job was 15.41 months, with over 18% unemployed for 6-12 months. Job dissatisfaction was influenced by factors such as low salary, gender, service years and lack of personal assistance. Vision impairment correlated with higher dissatisfaction. Overall, around 32.5% reported satisfaction in their job, 44.1% were neutral and 23.4% were dissatisfied. Dissatisfaction rose to 29% when measured using supplementary questions. Conclusion: The study was the first to examine factors leading to job satisfaction of employees with disabilities in the Ethiopian public sector. Recommendations include social policy adjustments for better working conditions, considering central factors associated with dissatisfaction. The government should explore measures such as employment quotas or wage supplementation to address disparities and ensure reasonable accommodation. Inclusive research methods will assist in leading change. Contribution: This research contributes nuanced insights into the factors affecting job satisfaction and its complexities among employees with disabilities in the Ethiopian context, emphasising the need for ongoing research to improve worker support structures and inclusive practices in job acquisition and employment.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.040
GPT teacher head0.361
Teacher spread0.322 · 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