Assessing Reliability and Validity of the Farsi Version of the Toronto Alexithymia Scale in a Sample of Substance-Using Patients
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this study was to estimate reliability and factorial validity of the Farsi version of the Toronto Alexithymia Scale-20 (TAS-20) for 321 substance-abusing patients (187 men and 134 women). All were asked to complete the Farsi version of the Toronto Alexithymia Scale-20, the Emotional Intelligence Scale, and The Mental Health Inventory. Analysis supported the internal consistency, test-retest reliability, concurrent validity, and three-factor structure of the Farsi version of the TAS-20 for substance users. The factors are similar to the three reported previously and were labeled as Difficulty Identifying Feelings, Difficulty Describing Feelings, and Externally oriented Thinking. These results provide evidence for applicability of the TAS-20 and its cross-cultural validity.
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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