As Goes the City? Older Americans’ Home Upkeep in the Aftermath of the Great Recession
Bibliographic record
Abstract
The private home is a crucial site in the aging process, yet the upkeep of this physical space often poses a challenge for community-dwelling older adults. Previous efforts to explain variation in disorderly household conditions have relied on individual-level characteristics, but ecological perspectives propose that home environments are inescapably nested within the dynamic socioeconomic circumstances of surrounding spatial contexts, such as the metro area. We address this ecological embeddedness in the context of the Great Recession, an event in which some U.S. cities saw pronounced and persistent declines across multiple economic indicators while other areas rebounded more rapidly. Panel data (2005-6 and 2010-11) from a national survey of older adults were linked to interviewer home evaluations and city-level economic data. Results from fixed-effects regression support the hypothesis that older adults dwelling in struggling cities experienced an uptick in disorderly household conditions. Findings emphasize the importance of city-specificity when probing effects of a downturn. Observing changes in home upkeep also underscores the myriad ways in which a city's most vulnerable residents- older adults, in particular-are affected by its economic fortunes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".