Investigating the Relationship between Alexithymia and Early Maladaptive Schema among University Students in Tabriz
Bibliographic record
Abstract
Alexithymia is a problem that shows itself in the emotional and cognitive functioning level and is known as the in ability or failure to explain or understand the emotions This study examined the relationship between early maladaptive schemas and alexithymia in a sample student. This study is descriptive corelational. Sample of 220 undergraduate students of Tabriz University were selected by stratified random sampling and they were administered by questionnaire Toronto alexithymia (TAS-20), and early maladaptive schemas Yang Short Form (YSQ-SF). Data were analyzed using Pearson correlation and simultaneous regression analysis. The results showed that the components of early maladaptive schemas, disconnection and rejection, impaired autonomy and performance, impaired Limits, directedness, and vigilance/inhibition have a significant positive relationship with alexithymia. Also, the findings of the regression analysis show that impaired autonomy and performance, over vigilance/inhibition, are predictors of alexithymia . Therefore, it is essential to predict early maladaptive schemas and treat people with alexithymia.
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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) | 0.001 | 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".