Clinical correlates of dissociative tendencies in male soldiers with conversion disorder.
Bibliographic record
Abstract
AIMS: The aim of this study is to examine the relationship of dissociative tendencies (DT) with conversion subtype, alexithymia, severity of anxiety and depression symptoms in male soldiers with conversion disorder (CD). METHODS: Fifty-five male soldiers, patients who met DSM-IV criteria for CD, were included in the study. Subjects were given Structured Clinical Interview for DSM-IV (SCID-I), Dissociative Experiences Scale (DES), Hamilton Depression Rating Scale (Ham-D), Hamilton Anxiety Rating Scale (Ham-A), State-Trait Anxiety Inventory (STAI) and Toronto Alexithymia Scale (TAS-20). RESULTS: Those who had motor symptoms or deficits had lower mean DES scores than those who had no motor symptoms or deficits, whereas those who had seizures or convulsions had higher mean DES scores than those who had no seizures or convulsions. DES scores were correlated with psychic subscale of Ham-A, Ham-D, TAS-20 and both state anxiety and trait anxiety scores of STAI. Trait anxiety score and duration of military service were predictors for DT and they explained 34% of variance. CONCLUSION: The data suggest that although DT correlated with alexithymia and depression, they are fundamentally different constructs and only trait anxiety and duration of military service predicts DT in soldiers with CD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".