Community Participation of Older Adults with Disabilities
Bibliographic record
Abstract
ABSTRACT Contemporary discourses on ageing promote active participation as an ideal framework from which to encourage and support older people's health, independence and life satisfaction. But is such a vision of participation meaningful and/or accessible to all older adults? This paper explores how people ageing with disabilities understand the notion of social participation, juxtaposing their accounts with key trends found in ageing policy. Insights from individual interviews and a collective writing project conducted with older adults in Quebec who were living with lifelong disabilities (mobility, vision or hearing) reveal the tensions that exist between policy guidelines and participant narratives. Results highlight three crucial conditions with regard to the community participation of people ageing with disabilities: self‐determination, creating an inclusive environment and identity integration. Together, these themes reveal that ageing policies on participation should be revisited in order to improve opportunities for meaningful involvement. Our discussion suggests the need to widen the definition of participation so that it can be used to validate a variety of life options, guarantee structural and cultural access to participative settings and offer social spaces capable of supporting evolving identities, lived experiences and the collective circumstances of ageing with disabilities. Copyright © 2013 John Wiley & Sons, Ltd.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".