Coping Styles of Community Workers and the Influencing Factors in Hangzhou
Bibliographic record
Abstract
Objective To explore coping styles of community workers in Hangzhou and their influencing factors.Methods The stratified random cluster sampling was used in enrollment of 234 community workers in Hangzhou.Trait Coping Style Questionnaire(TCSQ),Memorial University of Newfoundland Scale of Happiness(MUNSH),Social Support Rating Scale(SSRS),Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)were taken in a questionnaire survey among the subjects.Results Our data demonstrated that the positive coping style and the negative coping style of community workers were significantly higher than the norms(P0.01).The influencing factors of positive coping style were positive experience,depressive symptoms,objective support.The influencing factors of negative coping style were depressive symptoms,negative experience,subjective support,positive emotion,positive experience.Conclusion The community workers present a state of highly psychological stress,attention should be paid to improve their coping styles to enhance their coping ability.
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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 | 0.001 |
| 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".