The Relationship of Alexithymia with Social Phobia among Female Students at the University of Hafr Al-Batin
Bibliographic record
Abstract
Objectives: This study aimed to identify the relationship of alexithymia with social phobia among a sample of female students at the University of Hafr Al-Batin. Methods: The descriptive correlative approach was used in this study to reveal the relationship of alexithymia with social phobia among a sample of female students at the University of Hafr Al-Batin, consisting of (200) female university students from various disciplines and academic levels, where the Social Anxiety Scale (SAS) consisted of (24) items distributed on (3) main dimensions: interaction anxiety, performance anxiety, and evaluation anxiety. And the alexithymia scale (Tas20) consisted of (15) items divided into (3) dimensions: the difficulty of recognizing feelings, the difficulty of describing feelings, and externally directed thinking were used in this study. Results: The results of the study indicated the existence of a positive relationship between alexithymia and social phobia among female students at the University of Hafr Al-Batin, where the relationship ratio between them was (0.614), The explained difference in the relationship between the two measures was (0.38), which is a ratio that indicates the percentage of explaining the variance in the relationship between the two measures. Conclusions: Conducting more studies about alexithymia and its relationship to other variables (such as psychological adjustment, and psychological hardness), conducting more studies on other samples, and measuring the effect of accompanying variables such as gender, age, academic level, etc., in addition to applying other measures of social phobia and alexithymia to reveal the extent to which the variables relate to each other.
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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 | 0.001 | 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".