Development of an Assistive Technology Intervention for Community Older Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To explore the use ofthe Ecological Validity Model as a guiding framework in the provision of a culturally-sensitive assistive technology (AT) intervention for community older people. METHODS: Twenty-seven Hispanic adultsaged 70 years and older, and four individuals with expertisein AT participated in a concurrent nested mixed method study where the quantitative method (content validity ratio exercise) was embedded in the dominant qualitative method (focus groups). RESULTS: Findings informedthe development of the Assistive Technology Life Enhancement Program (ATLEP); an intervention consisting of seven modules addressing AT devices with culturally sensitive elements. CONCLUSIONS: The Ecological Validity Model, as well as, the input from older adults were both effective methodological strategies in tailoring the ATLEP intervention to the needs and circumstances of community-living older people living in Puerto Rico.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it