Effects of Neighborhood and Individual Change on the Personal Outcomes of Recent Movers to Low-Income Senior Housing
Bibliographic record
Abstract
The objective of this study was to determine the effects of neighborhood and individual change on the personal outcomes of recent movers to Canadian government-subsidized senior citizen apartment buildings (SCAs). The authors' sample included 137 recent movers to 25 SCA projects in Winnipeg, Manitoba, who participated in a longitudinal survey. The analysis involved testing four logistic and ordinary least squares regression models, with personal state outcomes of the moves (self-rated health, morale, depression, self-esteem) treated as dependent variables. Although the overall performance of the models was moderate, the entry of a block of independent change variables into the regression equations consistently registered statistically significant increases in their explanatory power . Significant predictors of the outcomes included changes in personal resources, everyday travel, and resident appraisals of service, social, and physical components of neighborhood content. The findings suggested that the older person's subjective interpretations of a new residential setting assumed more importance in producing outcomes than objective measures of that settings.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".