Does Digital Gaming Enable Healthy Aging for Community-Dwelling People With Dementia?
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
This article critically explores the benefits of commercial digital gaming technology for healthy aging of people with dementia. Research with community-dwelling people with dementia has highlighted the need for enhanced access to nonpharmacological interventions to support social engagement. Commercially available technologies offer a means to engage people with dementia. This article expands on this body of knowledge by assessing the benefits of digital gaming on healthy aging for community-dwelling people with dementia who have participated in a series of Tech Clubs using Apple iPads, Nintendo Wii, and Nintendo DS. Findings from this study demonstrates that use of digital gaming technologies promotes lifelong learning; optimization of mental, physical, and social stimulation; and independence, all of which promote the agenda of healthy aging.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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