Health Stresses and Depressive Symptomatology in the Elderly
Bibliographic record
Abstract
The social and life sciences need to examine pathways of successful aging to master the consequences of increased longevity and physical vulnerability of the elderly population. One of older adults' well-known problems relates to the fact that their quality of life can be threatened by physical health stresses and associated depressive symptomatology. Common health problems among older adults often contribute to depressive symptomatology, and, in turn, depressive symptoms may further compromise older adults' health. It is thus an important task to discover factors that can protect older adults from experiencing the negative emotional consequences of health stresses. Using ideas from the life-span theory of control, we show how to adaptively manage the negative consequences of health problems in the elderly. Active investments in overcoming health problems that are controllable should result in positive outcomes. In contrast, it may be beneficial for older adults to disengage from health goals that are unattainable. By adjusting their control-related behaviors to the controllability of specific health stresses, older adults can maintain their psychological and physical health.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".