Bibliographic record
Abstract
Evidence that trauma may play a role in the development of a psychotic illness has lead researchers to investigate the relationship between trauma and the content of attenuated psychotic symptoms. Participants in this study were considered to be at clinical high risk for developing psychosis by meeting criteria for attenuated positive symptom syndrome based on the Structured Interview for Prodromal Syndromes. Trained raters used a specifically designed codebook to identify content in the vignettes of 45 participants. Various types of trauma that had occurred before age 16 were assessed, where participants who endorsed more types of trauma were considered to have experienced a greater amount of trauma. Spearman rank correlations revealed significant positive relationships between increased trauma and feeling watched or followed (rho=0.38, p<0.05) and false beliefs of status or power (rho=0.31, p<0.04). Significant negative relationships were observed between increased trauma and hearing nonnegative voices (rho=-0.39, p<0.01) as well as having unusual negative thoughts surrounding the self (rho=-0.31, p<0.05). Although this was a small sample, these findings support the possibility of a meaningful relationship between experiences of trauma and the content of attenuated positive symptoms.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".