‘Active ageing’: a qualitative study in six Caribbean countries
Bibliographic record
Abstract
ABSTRACT The aim of this study was to document the perceptions of elders in six Caribbean countries about ‘active ageing’ and on the basis of their reports to make recommendations to improve their situation. Data were collected principally through 31 focus group discussions conducted in both urban and rural areas. Comparative analysis was carried out of the qualitative information, focusing on three components of ‘active ageing’: health and social services access and use, social support, and economic circumstances. Most of the participants were women, aged 60–79 years, of lower socio-economic status and from urban areas. Large disparities in the responses of Caribbean societies to population ageing were indicated, as well as unequal opportunities to obtain health care and social services, public transport, income and food by both socio-economic status and location. Home-care services are either insufficient or non-existent. Some elders receive social and financial support from relatives while others fear isolation and face deprivation. Social participation varies by place, physical condition, financial situation, association membership, and transport opportunities. Social protection benefits do not provide adequate income and some older people face food insecurity. It was concluded that a comprehensive and multi-sectoral approach using the ‘active ageing’ framework should be implemented to ensure a healthy ageing process.
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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 | 0.001 | 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) | 0.000 | 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".