Negative self‐reference as a component of subthreshold psychotic symptoms in clinical high‐risk youth
Bibliographic record
Abstract
AIM: Schizophrenia is a leading cause of disability worldwide; early detection and intervention are critical. Early in their illness, individuals at clinical high-risk (CHR) for psychosis have subthreshold psychotic symptoms that are often derogatory and self-directed. We hypothesized that CHR participants with negative self-reference (NSR) as a component of subthreshold psychosis would also have higher levels of social anxiety and depression, lower self-esteem and lower social/role/global functioning as compared with CHR participants without NSR. METHODS: One hundred and sixty-eight participants from the National Institute of Mental Health (NIMH) funded Regroup Cognitive Behavioural Social Skills Training (CBSST) study were included. Clinical vignettes that included the Scale of Psychosis-Risk Symptoms were coded categorically to indicate whether NSR was present. t-tests were used to determine the association between NSR, symptom, and functional measures. RESULTS: Participants with NSR demonstrated significantly more social interaction anxiety (p < .001), negative beliefs about the self (p ≤ .001), defeatist beliefs (p < .05), depressive symptoms (p < .05) and positive symptoms (p < .005). There were no significant differences in social self-efficacy, positive or negative beliefs about others, positive beliefs about the self or psychosocial functioning between the two groups. CONCLUSIONS: Clinically significant differences were found between CHR participants with and without NSR, suggesting that this may be a useful factor to identify and address. Follow-up studies are needed to determine whether NSR responds to CBSST and whether or not its resolution would be associated with improvement in other symptom domains.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| 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".