Evaluation and its relevant factors of psychological scale among 122 empty-nesters
Bibliographic record
Abstract
[Objective]To investigate the happiness,depression and loneliness of empty-nesters,analyze the influencing factors,provide the basis for improving the life quality of empty-nesters. [Methods]112 empty-nesters were investigated by Memorial University of Newfoundland Scale of Happiness /Geriatric Depression Scale /UCLA Loneliness Scale( MUNSH /GDS /UCLE) and general condition questionnaire,and the influencing factors were analyzed. [Results]The scores of happiness,depression and loneliness among 112 empty-nesters were( 36. 58 ± 6. 87),( 11. 00 ± 2. 89) and( 30. 58 ± 7. 29). The differences of score of MUNSH /GDS /UCLE in different monthly income and recreational activities frequency were statistically significant( P 0. 05). The difference of UCLA score in different physical exercise frequency was statistically significant( P 0. 05).[Conclusion]The condition of low happiness,mild depression and moderate loneliness among empty-nesters shouldn't be ignored. Monthly income,recreational activities frequency and physical exercise frequency are the key factors to improve the life quality of empty-nesters.
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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 | 0.000 | 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 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".