DETERMINING THE RELATIONSHIP BETWEEN ALEXITIMIC PERSONALITY FEATURES AND NARSISTIC PERSONALITY FEATURES OF PHYSICAL EDUCATION AND SPORTS SCHOOL STUDENTS (Mardin Province Example)
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this study is to determine the relationship between alexithymic personality traits and narcissistic personality traits of students studying at Mardin Artuklu University School of Physical Education and Sports. In the study, Toronto Alexithymia Short Version (TAS-20) and narcissistic personality inventory were used as data collection tools. The relational model, which is included in the quantitative research method, was used in the research. The sample of the study consists of 154 students studying at Mardin Artuklu University School of Physical Education and Sports. SPSS 20 program was used in the analysis of the data obtained. In the analysis of the obtained data, firstly homogeneity and normality distribution were examined. For this, Kolmogorov-Smirnov (K-S) and Shapiro Wilks tests were used. After this review, it was decided to use the parametric test method in the analysis of the data. Descriptive statistics and Pearson correlation analysis were used in the analysis of the data. At the end of the correlation analysis, a statistically significant positive correlation was found between the students' narcissistic personality levels and total alexithymia level.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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