Loneliness as a Mediator of Perceived Discrimination and Depression: Examining Education Contingencies
Bibliographic record
Abstract
This study examines whether loneliness explains the association between perceived everyday discrimination and depressive symptoms among older adults as well as whether this indirect pathway differs by education. Three waves (2006, 2010, and 2014) of the Health and Retirement Study ( N = 7,130) are analyzed with random-effects models that adjust for repeated observations and fixed-effects models that control for all time-stable influences. Everyday discrimination is associated with loneliness and depressive symptoms but more weakly in fixed-effects models. The association between discrimination and loneliness is stronger at low educational attainment, leading discrimination to be indirectly associated with depressive symptoms through loneliness only at low education. The consequences of everyday discrimination for depression in late life are limited to older adults with low education due to education-contingent associations with loneliness. Perceived discrimination may have broad health consequences through loneliness, especially for older adults at low education.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".