“Further Distance and Silence among Kin”: Social Impact of COVID-19 on Older People in Rural Southeastern Nigeria
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.
Bibliographic record
Abstract
Given the new and unprecedented challenges faced by older people during the COVID-19 pandemic globally, this study explored the social impact of COVID-19 on older people in rural Nigeria. Data was collected from 20 older persons using in-depth interviews and analyzed thematically. Findings revealed that the pandemic has limited the rural older people’s social support and social contact with loved ones, leading to their increased poverty and loneliness due to their dependence on intergenerational support. The study recommends creative ways to safely maintain connectedness with older people, and expansion of the Nigerian pension policy to ensure income security for all older people as the pandemic has exposed the unsustainability of dependence on social networks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it