Cognitive insight and schizotypy in non-clinical adolescents
Bibliographic record
Abstract
Cognitive insight is a metacognitive construct that has been shown to be useful in detecting vulnerability to schizophrenia spectrum disorders and, in particular to schizotypy. The main purpose of the study was to analyze the relationship between the cognitive insight and schizotypy in a sample of non-clinical adolescents, and to analyze the sensitivity and specificity of the cognitive insight in differentiating vulnerability to schizotypy. Participants were non-clinical adolescents selected by cluster sampling (school), with random group-class selection. The Cognitive Insight Scale and the Esquizo-Q-A were used. Results: We found a different cognitive insight profile from that found in previous studies, with a lower score in self-reflection and a higher score in self-certainty. Self-reflection and the composite index would allow us to classify participants with risk scores in distortion of reality and interpersonal disorganization. The cognitive insight would be a useful construct for detecting vulnerability to schizotypy in non-clinical adolescents and would allow the design of effective interventions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".