“For a Younger Crowd”: Place, Belonging, and Exclusion among Older Adults Facing Neighborhood Change
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
Abstract Cities are gentrifying, yet we know little about the experience of older adults aging in gentrifying areas. Most research has focused on a shortage of affordable housing and threat of eviction for low-income residents but has paid less attention to age. This trend neglects a fuller understanding of place’s heightened significance for older people and how commercial gentrification threatens their possibilities to connect in non-institutional, intergenerational spaces. Drawing on five years of ethnographic fieldwork among older adults in a gentrified New York City neighborhood, this paper examines the significance of “third places” for longtime residents. I find that features of establishments such as proximity (distance from study participants’ residences), cost, physical design and layout, and surveillance shaped how different neighborhood places facilitated face-to-face interaction and a sense of ownership that supported participants’ independence as they aged in place. This paper contributes to limited scholarly knowledge about older people’s experiences of gentrification and neighborhood change, an understudied area of growing concern as population aging converges with the increasing desirability and cost of living in urban areas.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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