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: About 25% of all patients seeking psychotherapeutic treatment are considered to be alexithymic. Alexithymia has been assumed to be negatively associated with therapeutic outcome. On the other hand, it is unclear to which extent alexithymia itself may be modified by psychotherapeutic interventions. METHODS: From 414 consecutively admitted inpatients, 297 were followed up after 4 weeks (t1) and after 8-12 weeks (t2) upon discharge. Patients were treated with psychodynamic group therapy in a naturalistic setting. The Toronto Alexithymia Scale (TAS-20) and the Symptom Checklist-90 were administered. RESULTS: Twenty-seven percent of the patients were alexithymic (TAS-20 >/=61) at baseline. Multivariate models with repeated measurements indicated significant changes in Global Severity Index of the Symptom Checklist-90 in both alexithymic and nonalexithymic subjects. However, alexithymic subjects had significantly higher Global Severity Index scores than nonalexithymic subjects at t0, t1 and t2 (p < 0.001). The TAS-20 scores demonstrated a high relative stability in the total sample. However, in the alexithymic group, the TAS-20 scores changed considerably from baseline to discharge [66.3 (SD = 4.7) to 55.9 (SD = 9.9); t = 8.69; d.f. = 79; p < 0.001]. CONCLUSION: The inpatient treatment program including psychodynamic group therapy significantly reduced psychopathological distress and alexithymic features in alexithymic patients. Still, these patients suffered from higher psychopathological distress at discharge than nonalexithymics. Therefore, alexithymic features may negatively affect the long-term outcome.
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) | 0.001 | 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