The Role of Self-compassion and Alexithymia in Predicting Perceived Social Support
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Bibliographic record
Abstract
The aim of this study was to examine the relationship between self-compassion and alexithymia in predicting perceived social support. A convenience sample of 181 adults (138 females and 52 males) from Mashhad completed validated measures including the Multidimensional Scale of Perceived Social Support (MSPSS), the Self-Compassion Scale - Short Form (SCS-SF), and the Toronto Alexithymia Scale (FTAS). Data were analysed using Pearson's correlation coefficient and stepwise regression. The results showed that perceived social support was positively correlated with self-compassion and negatively correlated with alexithymia. In addition, self-compassion was found to have a negative and significant relationship with alexithymia. A stepwise regression model with self-compassion and alexithymia as predictors explained 6.5% of the variance in perceived social support. The results indicate that an increase in self-compassion and a decrease in alexithymia lead to an increase in perceived social support. Self-compassion has a greater impact on the prediction of perceived social support. Therefore, individuals who have higher levels of self-compassion and emotional expression tend to perceive higher levels of social support.<br>
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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) | 0.005 | 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