PERSPECTIVES FROM BELOW: OLDER ADULTS’ LENSES ON DISPLACEMENT AMID REVITALIZATION IN DETROIT
Bibliographic record
Abstract
As U.S. “declining cities” undertake efforts to revitalize their inner-city neighborhoods, gentrification can result in the direct displacement of vulnerable populations, including older adults. Combining urban planning and anthropological perspectives, this presentation integrates spatial analysis of gentrification processes in Detroit, Michigan with qualitative data collected from a study of low-income seniors who were involuntarily relocated as their building went market rate (n=43). We examine how these perspectives on changes in social networks and their communities shed light on the effects of gentrification for older adults. In particular, we explore how these individual stories collectively increase our conceptual understanding of gentrification-induced displacement. Findings include 1) older adults’ challenges with information flow on moving processes and relocation options and 2) perceptions that the city’s revitalization does not include low-income seniors. The presentation will conclude with policy and practice implications for understanding the particular concerns of urban older adults experiencing displacement.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.018 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".