The mediation role of general self-concept between social support and subjective well-being in older adults
Bibliographic record
Abstract
Objective To investigate the relationship between general self-concept, social support and subjective well-being in Chinese older adults. Methods A total of 717 older adults completed the General Self-Concept Scale (GSCS), Social Support Rating Scale(SSRS) and Memorial University of Newfoundland Scale of Happiness(MUNSH). Results The self-concept score of the elderly was (2.91±0.41), social support score was (35.45±7.12) and subjective well-being score was (11.56±10.31). Social support was significantly positively related with self-concept and subjective well-being (r=0.43, P total effects |0.19|). Conclusion Social support can indirectly affect subjective well-being through self-concept. Key words: General self-concept; Social support; Subjective well-being; Older adults
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".