The Lived Experience of Disability Rights in Ghana: A Case Study from the Eastern Region
Bibliographic record
Abstract
This article analyses the struggle for disability rights in Ghana by offering a window into the lived experience of physically disabled Ghanaians in the Akyem Abuakwa traditional area of Ghana’s Eastern Region. Utilizing grassroots narratives of sixteen participants, the article focuses on the themes of financial and social support to illuminate the challenges facing disabled individuals in a peri-urban area of Southern Ghana. The analysis engages with the concept of Ubuntu, which focuses a lens on traditional African community as a natural and inherently good vehicle for social inclusion. Using the idea of community as a frame of reference, we present a brief historical overview, followed by data from sixteen interviews to explore the connection between socio-economic change, community dynamics and disability rights. We conclude by arguing that the data raises questions about the revival of traditional communal bonds as a solution to social exclusion produced by disability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".