Multiple vulnerabilities: The effects of neighborhood structural changes upon older residents' mental health and perceptions of the broader community
Bibliographic record
Abstract
Neighborhoods' structural conditions are consequential for their social circumstances and residents' well-being. Neighborhood effects might be accentuated among older residents because their daily activities and social lives are more confined to their immediate communities. This study examines how changing neighborhood socioeconomic disadvantage affects older residents' depression and stress, as well as perceptions of neighborhood context. This study employed waves 2 (2010-2011) and 3 (2015-2016) of the National Social Life, Health, and Aging Project survey (N = 2357) and fixed-effects linear regression models to study these relationships. While rising neighborhood socioeconomic disadvantage was associated with more depression and stress, it was negatively associated with overall neighborhood social capital and neighborhood social cohesion, and was only associated with lower perceptions of neighborhood safety among respondents who relocated to new neighborhoods. Beyond cross-sectional associations, changing neighborhood socioeconomic disadvantage is associated with changes in mental health and perceptions of neighborhood social context.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".