Physical capability and the advantages and disadvantages of ageing: perceptions of older age by men and women in two British cohorts
Bibliographic record
Abstract
ABSTRACT In an increasingly ageing society, its older members are receiving considerable political and policy attention. However, much remains to be learnt about public perceptions ofolderage, particularly the views and experiences of older individuals themselves. Drawing on qualitative interviews carried out with members of two British cohorts (N = 60) who have reached the ‘third age’, this paper discusses perceptions of age, focusing particularly on how perceived advantages and disadvantages differ by respondents' self-reported physical capability. The interviews were carried out in 2010 as part of the HALCyon (Healthy Ageing across the Life Course) collaborative research programme. Findings suggest there is some difference in the way older people view aspects of ageing by capability and that although advantages are widely perceived, physical decline and associated health concerns were the overwhelming theme across the conversations. The article concludes by making tentative suggestions to inform the positive ageing agenda and its related policies.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".