A Qualitative Study to Understand the Lived Experience of Socially Frail Older Adults
Bibliographic record
Abstract
Background: Social frailty is an important public health priority among older adults, but its risks and challenges are not well understood. This study sought to understand the lived experience of socially frail older adults. Methods: A qualitative description study was conducted with 17 socially frail or at-risk older adults. A “Life Map” approach that considers six areas of a person’s life was used to explore the social frailty experience. Thematic analysis (qualitative data) and descriptive statistics (quantitative data) were performed. Results: Participants perceived their lived experience of social frailty as: (1) a life event that triggered their social frailty state, (2) leading to consequences and challenges, which (3) prompted the use of a range of coping strategies and supports to overcome challenges. Conclusion: This study contributes to the understanding of how older adults experience social frailty. Results can be used to create an intervention to reduce, prevent, or reverse social frailty.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".