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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".