Comparing Dissociation and PTSD in Sexually Abused School-Aged Girls
Bibliographic record
Abstract
The aim of this study was to assess and contrast dissociation and posttraumatic stress disorder (PTSD) symptoms in a group of sexually abused school-aged girls compared with a matched group. Results from bivariate analyses show that the two symptom constellations represent distinct constructs. Logistic regression analysis indicates that sexual victimization significantly increases the odds of presenting with a clinical level of dissociation and PTSD symptoms, respectively, by eightfold and fourfold. On the basis of a multivariate design, abuse severity indicators, namely, penetration, relationship to perpetrator (intrafamilial versus extrafamilial abuse), and chronicity, did not prove predictive of dissociation symptoms. The least and the most severe forms of childhood sexual abuse both increase dissociative symptoms. The data indicate also that intrafamilial abuse and chronicity do not predict PTSD. However, abuse involving intrusive acts (penetration) does predict PTSD symptoms. Implications for intervention and further research are discussed.
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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) | 0.000 | 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".