Connectedness, feeling At home, and joyful Play (CAP): A place-based wellness model for cognitive health promotion in the community by the community
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
As populations age, leveraging community resources to reduce dementia risk is increasingly vital for brain health. Using community-based participatory research methods, we co-developed and tested a pilot program with older adults in Metro Vancouver, Canada, to better understand and address brain health needs in community settings. Over 12 focus groups, older adults provided input which led to a place-based wellness model ‘Connectedness, feeling At home, and joyful Play’ (CAP). The CAP model was incorporated into an 8-week feasibility study, testing various components of a multi-domain realist controlled trial (n = 78). Older adults were recommended various existing activities in the community based on their CAP profiles. A ‘Finding Meaning in Aging’ mindful discussion program was added in response to older adults’ feedback on current gaps. Path analysis of preliminary data suggests that total attendance (β = .196, p = .070) improved brain health at week 8 by increasing a sense of playfulness at week 4 (β = .284, p = .002). Mindfulness (β = .215, p = .046) improved brain health by increasing a sense of at-homeness (β = .227, p = .025). Both pre- and post-implementation feedback from older adults centred the importance of friendship in late life, specifically to address late-life losses. The community-generated CAP model shows promise for place-based cognitive health promotion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 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 | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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