Self-Centrality, Basic Symptoms Model and Psychopathology in Schizophrenia
Bibliographic record
Abstract
The study's aim was to empirically derive the psychopathological constellation associated with self-centrality (i.e. non-delusional self-referential attitude) by seeking an interpretation in the light of the 'Basic Symptoms Model' of schizophrenic psychopathology. Eighty-four patients with an established schizophrenic illness receiving maintenance treatment at the Psychiatry Section of the Parma University Neuroscience Department were examined. The Scales for the Assessment of Positive and Negative Symptoms, the Calgary Depression Scale and the Toronto Alexithymia Scale were administered to all subjects to determine levels of positive, disorganized, negative and depressive symptoms, as well as alexithymia. Subjective experiences, including non-delusional self-centrality, were explored by means of the Bonn Scale for the Assessment of Basic Symptoms. Logistic regression detected three different psychopathological domains (delusional, alexithymic, and basic body symptoms) strongly associated with self-centrality. Among these the most influential independent variable was basic body symptoms. These results suggest that impaired lived body experience (i.e. protopathic body disattunement) is a psychopathologic condition concomitant with the emergence of autocentric polarization of experience (i.e. self-centrality).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".