Guilt and depression: Two different factors in individuals with negative symptoms of schizophrenia
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: Depression is common among schizophrenia patients and constitutes a major risk factor for suicide. Calgary Depression Scale (CDSS) is the most widely used instrument for measuring depression in schizophrenia. CDSS has never been examined in patients with predominant negative symptoms, thus possibly hindering both accurate assessment and understanding of the underlying mechanisms. The current study is the first to examine CDSS' structure in this population. METHODS: We conducted Principal Component Analysis (n=184) for the CDSS items. Thereafter, we correlated emerging factors with psychopathological, demographic and side effect variables. We assessed internal consistency and reliability of the emerging factors, as well as demographic correlations. RESULTS: The analysis yielded two factors: depression-hopelessness and guilt. Factors distinctly correlated with separate variables. Removal of item #7 (early waking) improved internal consistency. The depression-hopelessness factor had an inverse correlation with negative symptoms, and positive correlation with neuroleptic side effects. CONCLUSIONS: CDSS structure indicated of two separate factors, i.e., depression-hopelessness and guilt, suggesting separate underlying processes. The validity of the scale might benefit from a two-fold structure and the removal/replacement of item #7 (early waking). A noteworthy inverse correlation was found between the depression factor and negative symptoms, as well as a positive correlation between depression factor and neuroleptic side effects.
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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) | 0.000 | 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