Race Comparisons of the Household Dynamics of Older Adults
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.
Bibliographic record
Abstract
Longitudinal studies have suggested that households are much more fluid than was once believed. Yet our understanding of changes in household composition is based on limited sets of transitions occurring across relatively long intervals. Furthermore, we know relatively little about ethnoracial variation in household dynamics. Using data from a sample of older Floridians, the authors describe race differences in longitudinal patterns of household change that occurred during four 6-month intervals. Approximately one quarter of respondents experienced some change in composition during the 24-month study. Older African Americans lived in larger and more dynamic households and were more likely to form coresident relationships with grandchildren and nonrelatives. Age, gender, marital status, and disability were also associated with the likelihood of acquiring a new household member. Findings from this research provide additional insight into the processes through which race differences in the composition of households emerge and are maintained over time.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it