Improving Care for Elders Who Prefer Informal Spaces to Age-Separated Institutions and Health Care Settings
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
BACKGROUND AND OBJECTIVES: Despite advantages of urban areas (such as walkability, public transportation, nearby shopping, and health care services), challenges remain for elders aging in place to access care. The changing demographics of older adults, with higher rates of divorce, singlehood, and childlessness, often living alone and far from family, necessitate new strategies to support health and well-being. RESEARCH DESIGN AND METHODS: Drawing on 5 years of ethnographic fieldwork and 25 interviews with elders in New York City, this study presents empirical insights into older adults' use of "third places" close to home, in conjunction with more formal settings. RESULTS: This article identifies external and internalized ageism and complicated age-based identity as important reasons why older adults preferred "third places" to age-separated spaces such as senior centers and formal settings such as health care settings. We find that neighborhood "third places" offer important physical venues for older adults to process negative or hurried interactions in other formal and age-separated places. DISCUSSION AND IMPLICATIONS: This article makes policy suggestions for increasing access and usage of essential services, including developing attractive and appealing intergenerational spaces in which older community members can obtain services and dispatching caseworkers to public spaces where elders congregate. Furthermore, this article recommends improving exchanges between health care providers and older adults so that they feel recognized, respected, and cared for, which can improve health care outcomes.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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