International perspective on social cognition in schizophrenia: current stage and the next steps
Bibliographic record
Abstract
In the last decades, research from cognitive science, clinical psychology, psychiatry, and social neuroscience has provided mounting evidence that several social cognitive abilities are impaired in people with schizophrenia and contribute to functional difficulties and poor clinical outcomes. Social dysfunction is a hallmark of the illness, and yet, social cognition is seldom assessed in clinical practice or targeted for treatment. In this article, 17 international experts, from three different continents and six countries with expertise in social cognition and social neuroscience in schizophrenia, convened several meetings to provide clinicians with a summary of the most recent international research on social cognition evaluation and treatment in schizophrenia, and to lay out primary recommendations and procedures that can be integrated into their practice. Given that many extant measures used to assess social cognition have been developed in North America or Western Europe, this article is also a call for researchers and clinicians to validate instruments internationally and we provide preliminary guidance for the adaptation and use of social cognitive measures in clinical and research evaluations internationally. This effort will assist promoting scientific rigor, enhanced clinical practice, and will help propel international scientific research and collaboration and patient care.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".