How do adults with <scp>post‐traumatic</scp> stress disorder from childhood trauma talk about single versus repeated traumas?
Bibliographic record
Abstract
Abstract Adults with posttraumatic stress disorder from childhood trauma (ch‐PTSD) described their 'worst' traumatic event (a single or repeated event) pre‐post treatment for PTSD during an international clinical trial. The memory reports were coded for specificity (Episodic vs. General) and level of detail. Repeated event (RE) narratives contained more generic and fewer episodic references but no more details than memories describing single events (SEs). Analysis of a subset of the sample's post‐treatment memory reports found 38% of the information units were consistent with the pre‐treatment narrative, 38% were omitted, 21% were new details and 2% were changes. The SE and RE groups did not differ on consistency. The data provide a unique insight into single versus repeated event memory reporting in a clinical sample with PTSD from childhood trauma.
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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 | 0.011 |
| 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 | 0.002 | 0.002 |
| 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".