Identifying Communities of Concern for Older Adults Using Spatial Analysis: Focusing on Accessibility to Health, Social, and Daily Services
Bibliographic record
Abstract
Ensuring accessibility to necessary services is critical for older adults. However, there often exist spatial disparities in the levels of accessibility to services. Because the application of Geographic Information System (GIS) has gained attention in the gerontology field, we used spatial analysis to identify communities of concern for older adults from the perspective of accessibility. We defined the communities of concern based on the proportion of older adults and the level of accessibility to health, social, and daily services via two specific modes of transportation-walking and public transit. Our findings show that newly developed communities tend to have less accessibility to necessary services, and aging communities are randomly distributed across the city. Our results call for interdisciplinary collaboration, between urban planning and gerontology professionals, to better understand the spatial pattern of aging communities and its implication for properly addressing the mobility needs of older adults in the communities.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".