Contextualizing Innovative Housing Models and Services Within the Age-Friendly Communities Framework
Bibliographic record
Abstract
This article compares and contrasts the characteristics of 3 models of housing and services for older adults, cohousing, Naturally Occurring Retirement Community Supportive Services Program, and villages, and links them to the domains of the age-friendly communities (AFCs) framework, specifically (a) services, supports, and information; (b) respect, inclusion, and diversity; (c) social and civic participation; and (d) affordability. We discuss key barriers and challenges of these models with respect to the AFC domains, as well as implementation and sustainability. Consideration of these models in age-friendly housing policy and practice could help expand and diversify the choices in the housing and services continuum. This aligns with AFC's emphasis on the need for housing and services responsive to older adults' diverse health and social needs, provides options that balance autonomy, choice, and support, and emphasizes older adults' participation and involvement in tailoring these options.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.013 |
| 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".