Lack of Insight and Concomitant Neuro- psychological Deficits in Schizophrenia
Bibliographic record
Abstract
Abstract: Lack of insight is a core pathological feature of schizophrenia. It has been assumed to be part of the dysregulation of executive dysfunction evident in this disorder. Lack of insight has also been found to be associated with amnestic disorders. As schizophrenia is additionally characterized by memory deficits, we investigated which of the two cognitive impairments - executive dysfunction or memory deficits - accounted better for lack of insight in this disorder. Eighty-one chronic schizophrenic patients and 38 healthy control probands took part in the study. The patients were recruited in Canada, the UK, Germany and Croatia. Patients were assessed with regard to clinical symptoms and the awareness of mental illness; both groups were administered neuropsychological tests of verbal memory, verbal learning, and executive function. Schizophrenic patients performed less well than healthy controls in all areas of cognitive function. Multiple regression analyses revealed that lack of awareness of schizophrenic disorder is best accounted for by poor verbal memory and disorganization.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".