Alexithymia and personality in relation to social anxiety in male alcohol-dependent inpatients
Bibliographic record
Abstract
Address for Correspondence/Yaz›flma Adresi: Dr. Cuneyt Evren, Bak›rkoy Ruh Sa¤l›¤› ve Sinir Hastal›klar› E¤itim ve Araflt›rma Hastanesi, Alkol ve Madde Ba¤›ml›l›¤› Araflt›rma Tedavi ve E¤itim Merkezi, ‹stanbul, Turkey E-posta: cuneytevren@yahoo.com Gelifl tarihi: 08.08.2008 Kabul tarihi: 18.09.2008 ABSTRACT Objective: The aim of this study was to investigate the determinants of social anxiety symptoms in alcohol dependent inpatients. Method: Participants were 176 consecutively admitted male alcohol dependent inpatients. Patients were investigated with the Liebowitz Social Anxiety Scale (LSAS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Toronto Alexithymia Scale (TAS-20) and Temperament and Character Inventory (TCI). Results: Subscales of LSAS (fear or anxiety and avoidance) were correlated with all the scales, particularly highly correlated with BDI, TAS-20 and “difficulty in identifying feelings” (DIF) and “difficulty in describing feelings” (DDF) subscales of TAS-20. Harm avoidance (HA) showed positive correlation with LSAS subscales, whereas self-directedness (SD) showed negative correlation with these subscales. TAS-20-DIF, HA and cooperativeness (C) subscales were determinants for fear or anxiety subscale of LSAS, whereas HA and TAS-20-DDF were determinants for the avoidance subscale of LSAS. Conclusion: Fear and anxiety subscale and DIF are interrelated, whereas avoidance subscale and DDF are interrelated among male alcohol-dependent inpatients. Also HA seems to be an important predictor for both subscales. Gender specific aspects and long-term stability of these relationships need further inquiry. (Archives of Neuropsychiatry 2008; 45: 72-7)
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.
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) | 0.002 | 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 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".