THE RELATIONSHIP OF ALEXITHYMIA WITH LONELINESS AND COMPARISON OF THEM IN MALE AND FEMALE STUDENTS
Bibliographic record
Abstract
Background: The aim of current research was to investigate the relationship of alexithymia with loneliness and comparison of them in male and female students. Material and methods: A sample of 280 students (145girls and 135 boys) were selected through multistage cluster sampling method and then were assessed by the Torento Alexithymia Scale and the Social and Emotional Loneliness Scale. Collected data were analyzed by multiple regression, correlation methods and multivariation. Results: The results indicated that alexithymia and dimensions of it (difficulty identifying feelings, difficulty describing feelings and externally oriented thinking) with loneliness have a significant correlation. Multiple regression analysis showed that three dimensions of alexithymia (difficulty identifying feeling, externally oriented thinking and difficulty describing feeling) can predict loneliness in the meaningful manner. Morevere, There was a significant discrepancy between male and female students in loneliness and 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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".