Relationship between Alexithymia, Dissociation and Personality in Psychiatric Outpatients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The relationship between alexithymia and dissociation is not known. Both mechanisms ward off overwhelming affective states; hence, this report examines the relationship between dissociation, alexithymia, depressed mood and the five-factor model of personality in a sample of psychiatric outpatients. METHODS: One hundred and sixteen outpatients were evaluated using the Toronto Alexithymia Scale (TAS), the Dissociative Experiences Scale (DES), NEO Five-Factor Inventory and visual analog scales assessing depression and anxiety. Data was analyzed using multivariate analysis of variance, logistic regression and linear regression techniques. RESULTS: Depressed mood accounted for the group differences between the global TAS and DES scores. Using DES both dimensionally and categorically with regression models, there was minimal contribution of DES or its subfactors to predict TAS. CONCLUSIONS: These data reaffirm previous findings that dissociation fundamentally differs from alexithymia. Dissociation involves a change of one's sense, of self, whereas alexithymia reflects a cognitive state of externally oriented thinking with an inability to identify and report discrete emotions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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