Bibliographic record
Abstract
This study examines the relationship between ethnicity and daily functional disabilities among older adults, focusing on Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). The analysis uses data from the 2020 National Social Life, Health, and Aging Project (NSHAP) survey, which included a sample of individuals aged 57-85 (n=3,005). Respondents provided information on their demographic background (e.g., income, gender, race, age, health, retirement, and marital status) and socioeconomic characteristics through telephone interviews. The study hypothesized that ethnic differences would be evident in perceived difficulties with ADLs and IADLs in later life. To assess these relationships, both MANOVA and regression analyses were conducted. The results showed that African American and Hispanic older adults reported greater difficulty with ADLs and IADLs compared to their Anglo counterparts, highlighting significant ethnic disparities in daily functional challenges. These findings are consistent with the convoy model, suggesting that ethnicity significantly influences health outcomes and functional abilities in later life. Future research should include a broader range of variables to deepen our understanding of the complex interplay between demographic factors and health outcomes, including daily functional disabilities, among older adults.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".