Survey on the mental health of different groups of the old and analysis on the related factors
Bibliographic record
Abstract
Objective Understood the different groups old man mental health,in order to provide the evidence for the old man to carry out psychological care.Methods Symptom Check List-90,Social Support-rating Scale,Memorial University Of Newfoundland Scale of Happiness and Center for Epidemiologic Studies Depression Sceal were administered to 414 people above 60 years old lived in community,geracomium,inpatient.Results The total score of SCL-90 correlated negatively with SSRS(r=-0.13,P 0.01),correlating negatively with MUNSH too(r=-0.516,P 0.01);while the total score of SCL-90 correlated positively with the CES-D(r=0.646,P 0.01);comparing mental health among community,geracomium,inpatient group,there is a significantly difference(P 0.01).Conclusion Community old man had a better mental health,hospital patients had a worse mental health.We need to strengthen the psychological care,targeted psychological intervention.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".