“They Do Not Care about Us Anymore”: Understanding the Situation of Older People in Ghana
Bibliographic record
Abstract
While existing research acknowledges copious challenges faced by older adults (people aged 60 and over) in Ghana and most countries in sub-Saharan Africa, they fail to situate the lived experiences of this vulnerable group within the broader context of health geography and public health. This paper draws insights from ecological systems theory and the "geographies of older people" literature to examine the lived experiences of older people in Ghana. Data for the study were gathered using interviews (42) and sharing circles (10). Our findings reveal a complex mix of experiences consistent with the different levels of the environment. Dominant themes include access to social support, functional impairment and poor health status, social status, poor access to water and sanitation services, food insecurity, economic insecurity, and caregiving burden. These findings support the wide-held notion that the experiences of older people are complex and produced by the interplay of both individual and structural factors. Our findings demonstrate that sociocultural, economic, political, and climatic factors are important consideration in promoting elderly wellbeing and quality of life in Ghana.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".