Socio-economic status over the lifecourse and internet use in older adulthood
Bibliographic record
Abstract
ABSTRACT This study explored associations between socio-economic status (SES) at different phases in the lifecourse and regular internet use among older adults. A sample (N = 11,035) from the 2010 wave of the United States Health and Retirement Study was used. Odds ratios were estimated to explore the relationship between regular internet use in older adulthood and measures of SES in childhood and in adulthood, and cumulative SES. Findings provided support for the lifecourse perspective, suggesting that variations observed among older adults are reflective of cumulative experiences. Three main themes emerged: higher SES in childhood increased the odds of being an internet user in older adulthood; SES advantages tended to accumulate, so that having at least one period of high SES in the lifecourse increased the odds of being an internet user in older adulthood; age did not appear to modify the positive relationship between cumulative SES and internet use.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".