PTSD personality subtypes in women exposed to intimate-partner violence.
Bibliographic record
Abstract
There is considerable research implicating posttraumatic stress disorder (PTSD) as a common reaction to intimate-partner violence (IPV; Golding, 1999). PTSD is categorized as a single disorder; however, there is significant heterogeneity in its symptom-presentation patterns (Dickstein, Suvak, Litz, & Adler, 2010). Researchers have posited underlying personality characteristics as potentiating different expressions of PTSD (Miller, Greif, & Smith, 2003). Specifically, a model with 3 personality subtypes (i.e., externalizing, internalizing, and simple) has been proposed to explain PTSD symptom-pattern heterogeneity (Miller, 2003; Miller & Resick, 2007). The current study tested the PTSD personality-subtype model in a sample of 129 women exposed to a range of IPV experiences. Temperament patterns of women reporting clinically significant PTSD symptoms replicated the 3 personality-subtype patterns found in previous investigations (i.e., an externalizing subtype group characterized by high negative emotionality and low disinhibition, an internalizing subtype group characterized by high negative emotionality and low positive emotionality, and a simple subtype group characterized by midrange scores across the temperament variables; Miller et al., 2003; Miller, Kaloupek, Dillon, & Keane, 2004; Miller & Resick, 2007). Differences between personality-subtype groups and women without clinically significant PTSD symptoms were found (p < .05), with women reporting personality patterns consistent with the internalizing and externalizing subtype groups exhibiting higher comorbid personality pathology and psychological difficulties. Implications are discussed for personality as a risk or resiliency factor in PTSD and as contributing to explaining PTSD symptom heterogeneity.
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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 | 0.018 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads agree on what is shown here.
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".