Personality and risk for serious mental illness
Bibliographic record
Abstract
AIM: Certain personality traits may be related to an increased risk of developing a severe mental illness (SMI). This study examined differences in personality characteristics in a sample of youth at-risk of SMI across different clinical stages compared to healthy controls (HCs). METHOD: Personality characteristics were assessed with the NEO-Five-Factor Inventory-3 for 41 non-help seeking asymptomatic youth with risk factors for SMI (Stage 0), 52 youth with early mood and anxiety symptoms and distress (Stage 1a), 108 youth with an attenuated psychiatric syndrome (Stage 1b), and 42 HCs. RESULTS: Symptomatic participants scored significantly higher in neuroticism, and lower in extraversion, and conscientiousness compared to non-symptomatic participants. Compared to published norms, symptomatic participants had ratings of extraversion and conscientiousness in the low range and those with attenuated psychiatric syndromes scored high on neuroticism. CONCLUSION: The observed personality profiles of the symptomatic stages were similar to reported profiles for discrete disorders. Early identification of this profile could aid identification of those at risk of SMI.
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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) | 0.000 | 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 | 0.000 |
| 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 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".