Maladaptive schemas as a mediator between social defeat and positive symptoms in young people at clinical high risk for psychosis
Bibliographic record
Abstract
AIM: Social defeat may be the mechanism that links past social adversities with the development of psychosis. In depression research, it is accepted that adverse early social experiences can lead to enduring cognitive vulnerabilities, characterized by negative schemas about the self and others. The aim of this study was to examine whether negative beliefs about the self and others link social defeat to early signs of psychosis. METHODS: Data from a sample of individuals at high risk for developing psychosis (n = 38) were assessed using measures of social defeat and schemas. RESULTS: High levels of social defeat and negative evaluations of the self and others were displayed. Negative beliefs mediated the relationship between social defeat and early symptoms, offering some support for the notion that maladaptive self-beliefs play a role in the onset of psychosis. CONCLUSIONS: These results have implications for prevention because these maladaptive schemas are malleable factors for which we have effective psychological 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".