A Six-Year Follow-up Study of Social Network Changes among African-American, Caribbean, and U.S.-Born Caucasian Urban Older Adults
Bibliographic record
Abstract
This study explores dynamic changes in network size and composition by examining patterns of older adults' social network change over time, that is: types of movements; the reason for the loss of network members; and the relation of movement and composition in concert. This study is a 6-year follow up of changes in the social networks of U.S.-Born Caucasian, African-American, and Caribbean older adults. One hundred and twenty-four community-dwelling older adults were interviewed during 2 data collection points over a 6-year period. Differences between Wave 1 and Wave 2 data were examined using paired sample t-tests confirmed with post-hoc tests and multivariate analyses. Results regarding types of movement showed that network changes were attributed to attrition--the "loss" of network members and a novel movement--the "addition" of network members not heretofore discussed. The results show an interaction between kinship status, ethnicity, and time--the attrition of non-kin members was underscored by ethnic differences. The type of network change was specific for type of network affiliation, such that children were more likely to be added to the networks of the young-old and kin were more likely to be lost in networks of the old-old. Older adults engage in social network interactions marked by compensatory processes beyond loss of network members such as social promotion and demotion. These social network processes are of emotional and functional significance for the older adult.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".