The Gentrification Acceleration Press Schema: A Critical Examination of Gentrification-Induced Displacement in Later Life
Bibliographic record
Abstract
Aging in place is an important environmental consideration in gerontology from the standpoint of research and aging individuals. Although the majority of aging adults in the United States prefer aging in place to relocating to different environments (e.g., retirement communities and cohabitation with adult children), many barriers prevent this outcome. For example, for low-income and marginalized older adults, aging in place is far from a certainty due to historical disadvantages. Unanticipated changes to one's environment, such as neighborhood gentrification, may threaten one's ability to age in place. In certain circumstances, gentrification-induced displacement can lead older adults to experience severe outcomes such as later-life housing insecurity. In this paper, we use a person-environment fit framework and a competence-press model-gentrification acceleration press or GAP-to consider how environmental factors such as gentrification lead to displacement, directly affecting older adults' ability to age in place. By applying and expanding the GAP framework, we explore the contexts and other systemic factors that affect environments of underrepresented older adults and aging in place. Overall, we suggest ways that the GAP schema can guide important future research and help provide an age-inclusive framework for advocates of older adults wishing to age in place.
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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 | 0.002 | 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 | 0.000 |
| 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".