Exploring social and leisure participation among stroke survivors: Part two
Bibliographic record
Abstract
Older adults who live in the community often report decreased levels of social and leisure participation following stroke. A qualitative study using open-ended, focused interviews was conducted with a sample of 12 older adult stroke survivors. This study aimed to explore how often older adult stroke survivors participate in social and leisure activities, the meaning(s) associated with this participation and the factors felt to hinder or contribute to this participation. Background information and the methodology are described in part one. In this second part, the findings and discussion of the interviews are provided. Using a modified grounded theory approach to analysis, four main themes emerged from the data: ‘it's a completely different life’; ‘what limits me from participating’; ‘what I need to participate’; and ‘continuing on with my life’. A model was developed to describe the potential relationships between the themes generated. This study highlights the re-establishment of continuity in social and leisure participation following stroke. The findings provide implications for health-care providers, who can help in developing programmes that support social and leisure participation among stroke survivors in the community
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".