Bibliographic record
Abstract
Objectives：This study was conducted to see whether there are any relationships among depressive symptoms, negative symptoms, emotional awareness, and quality of life in schizophrenic patients. The emphasis was on the relative predictability of emotion-related variables on their quality of life. Methods：Fifty-seven patients diagnosed with schizophrenia by psychiatrists. The patients were evaluated by clinicians using both the Korean version of the Calgary Depression Scale for Schizophrenia(K-CDSS) and Scale of the Assessment of Negative Symptoms(SANS). Thepatients completed Trait Meta-Mood Scale(TMMS) and Happy-Quality of Life Scale(Happy-QoL). Results：According to the study K-CDSS scores were positively correlated with SANS. K-CDSS scores were negatively correlated with both TMMS and Happy-QoL. Moreover, TMMS and Happy-QoL revealed a positive correlation. The hierarchical multiple regression analyses involved in our tasks demonstrated that K-CDSS and TMMS, SES, Age had a significant effect on overall Happy-QoL scores were 31%(p＜0.001), 12%(p＜0.01), 9%(p＜0.01), 7%(p＜0.01) respectively. Conclusion：This Study indicates that the depressive symptoms and the emotional awareness are the most powerful predictors on subjective quality of life in schizophrenic patients. Thus it is necessary to notice the importance of emotional awareness. Therefore, intervening when patients exhibit depressive symptoms can produce positive effects.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.072 |
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; both teacher heads agree on what is shown here.
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".