From Experience to Symptoms: A Multilayer Hierarchy of Psychopathological Dimensions in 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
INTRODUCTION: The psychopathology of schizophrenia is a complex amalgamation of features that span across different dimensions. These dimensions range from the experience of altered time and space through self-disorders to perceptual, positive, and negative symptoms. The relationship between these different psychopathological dimensions remains unclear. Addressing this gap was the aim of our study. METHODS: We collected data on schizophrenia spectrum disorder at three medical expert centers, via semi-structured phenomenological interviews, consisting of the Scale for Space and Time Experience in Psychosis (STEP), the Positive and Negative Syndrome Scale for Schizophrenia (PANSS) and, for a subset of these data, the Examination of Anomalous Self-Experience (EASE), and the perceptual domain of the Bonn Scale for the Assessment of Basic Symptoms (BSABS or BONN). Various state-of-the-art statistical methods, including network and mediation analyses, were used to investigate the relationships between these psychopathological dimensions. RESULTS: We found a relationship between altered time and space experiences (STEP) and both general symptoms (PANSS) and the basic self-disorders (EASE). CONCLUSION: Our various network and mediation analyses show that the basic self-disturbance is a key node in mediating the impact of the more fundamental time and space disturbances on both perceptual changes, and negative, positive, and general symptoms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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