The Relationship between Alexithymia and Attachment Styles among University Students
Bibliographic record
Abstract
The study aimed to investigate the relationship between Alexithymia (Alex) and attachment styles, gender, familysize, parent's level of education among a randomly selected sample of (392)undergraduate students (136 male, 256female), at Al-Hussein Bin Talal University. To achieve the objectives of this study, the twenty-item TorontoAlexithymia Scale (TAS-20), which was standardized by Dawoud (2016) and Yarmouk Attachment Scale developedby Abu Ghazal and Jaradat (2009) were applied, after verifying their validity and reliability. The results of the studyrevealed a significant negative correlations between Alex and secure attachment, while the correlations between Alexand avoidant attachment, and anxious-ambivalent attachment styles were positively significant. Also, there wassignificant positive correlation between Alex with gender and family size. Finally; no significant correlations werefound between Alex with parent’s education.
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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 | 0.002 |
| 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".