Psychology Conditions and Happiness Level of Retired Cadres
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
Objective To investigate the psychology conditions and happiness score of the retired cadres.Methods 124 retired cadres and 120 working cadres were investigated and compared with general status questionnaire,self- reporting inventory(SCL- 90) and memorial university of Newfoundland scale of happiness(MUNSH).Results The retired cadres were of lower psychology problems as forcing,sensitive interpersonal relation,anxiety,paranoia,and their total average scores were obviously lower than that of working cadres(P 0.05).But the retired cadres were of higher somatization problem(P 0.05),lower negative affect scores of MUNSH(P 0.05),compared with working cadres.There was obvious correlation between the happiness level and the SCL-90score.Conclusions Good psychology condition can improve the happiness level.There are still some psychology problems in retired cadres which should be intervened.
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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 | 0.000 | 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) | 0.001 | 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 it