Understanding Aging in Place for Older Adults: A Needs Analysis
Bibliographic record
Abstract
A goal of many older adults is to remain in their own homes as they age (Beyond 50.05 Survey, 2005). However, a detailed assessment is lacking of the needs of older adults as they age in place. Using focus groups, twenty-six independently living older adults (mean age 78.8 years) from the Atlanta metropolitan area were asked to describe the tasks they perform to maintain their homes, as well as any difficulties they have performing these tasks. Participants described performing a wide range of tasks and focused primarily on physical difficulties. However, participants also reported solutions to manage these difficulties that fell into three broad categories: “Cessation,” “Perseverance,” and “Compensation.” These categories represent classes of opportunities for interventions that may help older adults remain independent in their homes longer. By understanding the nature of home maintenance problems older adults encounter while aging in place, interventions and redesign efforts can be more effective. These data suggest that interventions should start with answering physical issues.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".