Premorbid adjustment in first episode schizophrenia and schizoaffective disorders: a comparison of social and academic domains
Bibliographic record
Abstract
OBJECTIVE: Recent evidence suggests that premorbid adjustment in schizophrenia and related disorders can be separated into social and academic domains. In this paper, we examine the correlates of and prognostic significance of social and academic premorbid adjustment in a sample of 113 patients. METHOD: Premorbid adjustment, symptoms and cognitive functioning were assessed at presentation for treatment and symptoms were re-assessed after a year of treatment. RESULTS: Females and those with a diagnosis of schizoaffective disorder were found to have better premorbid adjustment in the academic domain, but not in the social domain. Neurocognitive functioning was more consistently related to academic than social adjustment. Better social and academic premorbid adjustment was correlated with lower negative symptoms after 1 year of treatment, but neither was a significant predictor of positive symptoms. CONCLUSION: Social and academic premorbid adjustments show different relations to gender, specific diagnosis and neurocognitive functioning in schizophrenia and related disorders.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".