Investigation of Aggression and Emotional Intelligence Characteristics of the Students from Faculty of Sport Sciences and State Conservatory of Turkish Music
Why this work is in the frame
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Bibliographic record
Abstract
This study was performed to investigate the characteristics of emotional intelligence and aggression between the students from Ege University Faculty of Sport Sciences and the students from the State Conservatory of Turkish Music. A total of 211 people (top-tier athletes and top-tier artists from Ege University) were selected for the study. Questionnaire method was used in the study. To evaluate the variables of the study, the revised Schutte Emotional Intelligence Scale that was adapted to Turkish by Tatar, Tok, and Saltukoğlu which consists of 41 items and the “Inventory of Aggression” that was developed by İpek İlter (Kiper) which consists of 30 items was used. In this study, the data set was analyzed in the package program SPSS 22.0 and the study was done using frequency tables, reliability analysis, unpaired t-test, one-way analysis of variance, Tukey’s test, and correlation analysis in the analyses. As a result, while a significant positive relationship between the emotional intelligence and the destructive and passive aggression was found (p0.05). We think that this is an important study because it helps us to be informed about the emotional intelligence and the aggression characteristics of the conservatory and sports sciences students and to make a serious contribution to the studies by conducting similar researches with different sample groups in different fields and different branches in different universities.
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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) | 0.000 | 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