Compensating for Losses in Perceived Personal Control Over Health: A Role for Collective Self-Esteem in Healthy Aging
Bibliographic record
Abstract
Collective self-esteem (CSE) refers to an individual's self-evaluation of his or her social identity. We speculate that a positive social identity, or high CSE, facilitates accommodation to negative health-related circumstances in later life, especially when one feels unable to alter these circumstances directly. Accordingly, we hypothesized that CSE would be associated with fewer chronic conditions and greater perceived health for those with low perceived control. Hierarchical regression analyses of data from 1,267 respondents (60% women, aged 69-101) in the 1996 Aging in Manitoba survey confirmed the predicted CSE x Perceived Control interaction on both measures of health status. These findings persisted when respondents' self-rated loneliness was controlled. CSE may compensate to protect the health of older adults whose perceived personal control over health is low. Secondary control and alternative mechanisms for this protective effect are discussed.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".