OLD PEOPLES’ WELL BEING IN A TOTAL INSTITUTION AND THE IMPERATIVE OF NEW POLICY DIRECTIVE
Bibliographic record
Abstract
In contemporary times, African as well as Nigerian societies have experienced changes due to urbanization, globalization, and industrialization. This has resulted in a weakening of the hitherto existing bonds, norms, values and culture in the family structure with the attendant consequences of neglecting the elderly. While studies have focused on the factors militating against adequate care for the elderly, psychological well being of the elderly as well as their unmet needs, dearth of information exist on the social well-being of the elderly who are under care and support in the institution such as the Yaba old people’s home. This study was conducted against this background with the social exchange theory and Health Belief Model as its theoretical frameworks. The study was purely qualitative using in-depth interview with 44 resident aged people, 3 key informant interviews with staff of the institution and non-participant observation as the methods of data collection. Over half (59.0%) of the respondents are female while about a quarter of the respondents (23.0%) most of whom were females, had no education. Furthermore, while 91.0% were between the ages of 71-90years, 98.0% of the respondents were widowed prior to their admission into the homes. Findings revealed that the elderly experienced dissatisfaction with the food, access to medical attention and condition of living in the institution. This was revealed to be because they lacked choice as to what to eat, where to stay, who to stay with and when to receive medical attention. Lack of adequate funding from government, inconsistent payment from relations of the elderly, and limited supplies of resources were reported as the challenges faced by the institutions which affected the care of the elderly in the home. Adequate funding, consistent payment and increased support from government, clients relations and other necessary stakeholders respectively are recommended in order to ameliorate the conditions of the aged in Nigeria in particular and African in general.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".