An Investigation of Relationship Between Alexithymia and Ego-Oriented Levels of Students at The Faculty of Sports Sciences
Bibliographic record
Abstract
Aim: The aim of this study is to investigate of students sport science faculty relationship between on their alexithymia status and ego-oriented goals levels to compare them according to different demographic variables. Methods: For data collection, “Alexithymia Scale” was used which was developed by Bagby et al. 5 and was adapted to turkish by Güleç et al. 6 For data collection, “Task and Ego Oriented Scale” was used which was developed by Duda. 7 and was adapted to turkish by Toros and Yetim 8 to 416 participants in total consisting of 138 female and 278 male students. For data analysis, through SPSS statistical packet program, frequency analysis, desciptive statistics, independent sample t-tests, one-way anova, tukey, pearson correlation analyze were performed. Results: A highly significant negative correlation was found between the participants' ego orientation averages and their alexithymia averages. (r= -.826, p<0.01). Conclusion: According to this; As the participants' alexithymia levels increased, their ego orientation decreased; in other words, it was concluded that as ego orientations increased, alexithymia levels decreased. Keywords: Alexithymia, Ego-oriented, Physical Educaiton, Sport.
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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".