Stability of shyness, sociability, and social dysfunction in schizophrenia: A preliminary investigation of the influence of social skills training in a community-based stable outpatient sample
Bibliographic record
Abstract
Background: We previously noted a significantly higher degree of retrospective and contemporaneous shyness and sociability troubles in patients with schizophrenia than controls in a community-based stable outpatient sample and greater relative resting right frontal EEG activity (a trait marker of stress) in patients with schizophrenia who were shy.Objective: Here we conducted a preliminary investigation to examine the stability of shyness and sociability in a sample of 37 stable outpatients with schizophrenia, some of whom were either exposed (n = 17) or not exposed (n = 20) to weekly social skills training over a seven month period.Results: We found that shyness and sociability remained stable across all patients, although when the two groups were considered separately, only shyness remained stable in both groups.Sociability was not stable in those patients exposed to social skills training.We also found that, although measures of shyness indexed prior to exposure to the social skills training program significantly predicted pre-and post-social skills training measures, sociability was not related to pre-or post-social skills measures.Individuals with schizophrenia who scored high on trait shyness prior to exposure to social skills training still exhibited problems related to social adjustment following training.Conclusions: The present study appears to be the first to examine the stability of trait-like shyness in schizophrenia.Findings are discussed in terms of their implications for understanding the stability of shyness and sociability and their role in the heterogeneity of symptom profiles and pervasive social dysfunction in community outpatients with schizophrenia.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".