The effect of social support on the subjective well-being of the elderly in the post-epidemic era: A chain mediation model
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
This study was conducted to investigate the influence of perceived social support on subjective well-being and its relationship with meaning in life and resilience among elderly population in China. The Social Support Scale, the 10-item Connor-Davidson Resilience Scale, the Meaning in Life Questionnaire, and the Memorial University of Newfoundland Scale of Happiness were employed. A total of 308 valid questionnaires were collected with a response rate of 100%. The data were analysed using SPSS 27.0. The results were as follows: (1) There were no significant differences in perceived social support, meaning in life, resilience, and subjective well-being by gender. However, significant differences were found in place of origin (urban/rural), socioeconomic status, educational level, marital status, and COVID-19 infection status; (2) Perceived social support, meaning in life, and resilience were positively and significantly correlated with subjective well-being; (3) Meaning in life and resilience mediated the relationship between perceived social support and subjective well-being. Overall, the subjective well-being of the elderly participants was in the medium to high range. Improving perceived social support, meaning in life, and resilience may enhance the well-being of elderly population in the aftermath of major crises such as epidemics.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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