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Record W3111125486 · doi:10.1002/jcop.22486

Multiple vulnerabilities: The effects of neighborhood structural changes upon older residents' mental health and perceptions of the broader community

2020· article· en· W3111125486 on OpenAlex
Jason Settels

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Community Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationSocial Sciences and Humanities Research Council of CanadaUniversité du Luxembourg
KeywordsSocioeconomic statusMental healthDisadvantageContext (archaeology)PerceptionSocial capitalSocial determinants of healthPsychologyGerontologyGeographyEnvironmental healthPublic healthMedicineSociologyPopulationPsychiatryPolitical science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.395
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it