Black—White Disparities in Disability Among Older Americans
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
OBJECTIVE: To explore the impact of adjusting for income and education on disparities in functional limitations and limitations in activities of daily living (ADLs) between Black and White older Americans. METHOD: Data from the 2003 American Community Survey were used to examine the associations of education and income, stratified by race and gender, with functional limitations and ADLs, in a sample of 16,870 non-Hispanic Blacks and 186,086 non-Hispanic Whites aged 55 to 74. Sequential logistic regressions were used to examine the relative contribution of income and education to racial disparities. RESULTS: Ninety percent of the Black-White difference in disability rates for men and 75% of the difference for women aged 55 to 64 were explained by income and education. DISCUSSION: The greatly elevated risk of disability among Blacks aged 55 to 74 is largely explained by differences in socioeconomic status. Reductions in Black-White health disparities require a better understanding of the mechanisms whereby lower income and education are associated with functional outcomes in older persons.
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 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 | 0.002 | 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