Clinical Correlates of Insight in Schizophrenia
Bibliographic record
Abstract
111 schizophrenic patients diagnosed in accordance with DSM-III were rated on Landmark's symptom checklist, on demographic variables, and on variables descriptive of the course of illness. Of the 111 patients, 108 (97.3%) showed poor insight into their illness at some time in the past and 65 (58.6%) at the time of assessment. Those presently showing poor insight were significantly (Pearson rs, p< .01, 2-tailed) more frequently rated as currently displaying poor judgement also in other matters (r =.50), as showing social withdrawal (r=.42) and poor rapport (r=.33), and as being preoccupied with their delusions or hallucinations (r=.31) and as being unreliable informants (r=.41). They usually had lower education (r=.33), their income in the last taxation year was lower (r = .47), and their work functioning was less adequate (r = .30).
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".