How Does Community-Based Housing Foster Social Participation in Older Adults: Importance of Well-Designed Common Space, Proximity to Resources, Flexible Rules and Policies, and Benevolent Communities
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 supporting active and healthy aging calls for different community-based housing alternatives, integrated knowledge of their impacts on older adults' social participation is required. This study aimed to explore how community-based housing fostered social participation in older adults. A scoping review was used to systematically identify relevant studies according to 32 keywords in 8 electronic databases. Published during 2000-2021, the 46 studies were carried out in North America, Europe, Oceania, and Asia, documenting older adults' social participation in six community-based housing models. Targeting different clienteles, these models mainly promote older adults' social participation by providing: 1) accessible common space in a design favorable to social interactions; 2) proximity to resources; 3) flexible rules and policies that facilitate residents' interactions with not only co-residents but community neighbors; and 4) benevolent communities. These results highlight the interactions between the physical and social environments; they suggest the importance of building benevolent communities as well as of sharing resources among residences and local communities to create a supportive living and neighborhood environment for active and healthy aging. Future studies should further explore the role of different stakeholders in developing benevolent communities by considering the dynamics between the person and the environment.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 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