The Social Distribution of Psychological Distress and Depression in Older Adults
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: This study examines the associations between social position and mental health and explores whether differences in distress and depression by social position can be accounted for by differences in the major components of the stress process model. We extend previous work by including an ethnocultural measure alongside more traditional measures of social position. METHOD: Secondary data analysis of the 1994 National Population Health Survey. RESULTS: Consistent with findings from studies of younger adults, mental health in later life is determined in part by age, gender, marital status, education, and ethnocultural factors. The data indicate that the life experiences connected to these social positions are largely responsible for these effects. DISCUSSION: Our findings suggest that key social factors are related to mental health in late life, because one's position in the social structure shapes the stressors they encounter and the resources they have at their disposal to cope with them.
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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 | 0.001 | 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