Is Alexithymia a Permanent Feature in Depressed Patients?
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: A six-month follow-up study was conducted to determine whether alexithymia is a permanent feature in 169 depressed outpatients. METHODS: Diagnosis of depression was confirmed by means of the Structured Clinical Interview for DSM-III-R (SCID-I). Alexithymia was screened using the 20-item version of the Toronto Alexithymia Scale (TAS-20) and severity of depression was assessed using the 21-item Beck Depression Inventory (BDI). RESULTS: Almost 40% of the patients were considered alexithymic at baseline, but only 23% at follow-up. Alexithymic patients were more often moderately or severely depressed than other patients in both study phases. The BDI scores explained 23% (at baseline) and 42% (at follow-up) of the variation in TAS-20 scores. The decrease in the TAS-20 scores was associated with a concurrent decrease in BDI scores. CONCLUSIONS: Alexithymic patients with depressive disorders do not appear to form a stable group. On the contrary, alexithymia seems to change as a function of depression. In the light of these results, alexithymia appears not to be a stable personality trait among depressed patients, and furthermore, it seems possible that alexithymic features respond to psychiatric treatment.
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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) | 0.002 | 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