Selective Aggregation of Self-Disorders in First-Treatment DSM-IV Schizophrenia Spectrum Disorders
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
Converging evidence indicates that self-disorders (SDs) selectively aggregate in schizophrenia spectrum conditions. The aim of this study was to test the discriminatory power of SDs with respect to schizophrenia and nonschizophrenia spectrum psychosis at first treatment contact. SDs were assessed in 91 patients referred for first treatment through the Examination of Anomalous Self-experience (EASE) instrument. Diagnoses, symptoms severity, and function were assessed using the Structural Clinical Interview for the DSM-IV, Structured Clinical Interview for the Positive and Negative Syndrome Scale, Calgary Depression Scale for Schizophrenia, Young Mania Rating Scale, and Global Assessment of Functioning-Split Version. Most patients found it highly relevant to talk about SDs. EASE total score critically discriminated between schizophrenia, bipolar psychosis, and other psychoses. The EASE total score was the only clinical measure that showed a significant and robust association with the diagnosis of schizophrenia. Systematic exploration of anomalous self-experiences could improve differential diagnosis in first-treatment patients.
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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