The Relationship between Dimensions of Alexithymia and Dissociation
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The study investigated the following hypotheses: (1) Alexithymia is significantly associated with dissociation. (2) Pathological versus nonpathological dissociation is associated with alexithymic traits. METHODS: Psychiatric in- and outpatients (n = 173) and nonclinical subjects (n = 38) were investigated with the Toronto Alexithymia Scale (TAS-20), the FDS (German version of Dissociation Experience Scale) and the Symptom Check List (SCL-90-R; GSI). Correlation analyses followed by MANOVA and logistic regression were performed. RESULTS: Significant correlations and partial correlations, controlling for GSI, were observed between dissociation and alexithymia. The MANOVA demonstrated significantly higher scores for the two TAS-20 dimensions 'difficulty identifying feelings' and 'difficulty expressing feelings' in the group with pathological dissociation. On the basis of the TAS-20 subscores, logistic regression analysis correctly classified 72.5% of the cases into the pathological and the nonpathological dissociation group. CONCLUSIONS: These results support our hypothesis that pathological traits of dissociation are highly associated with alexithymia. A model is discussed in which alexithymic characteristics may contribute to the development of pathological dissociation and stress-related disorders such as posttraumatic stress disorder.
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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 it