A SCRUTINY ON THE CHANGES IN THE SELF-RESPECT, ANXIETY, AND DEPRESSION LEVELS OF THE UNIVERSITY STUDENTS PERFORMING INDIVIDUAL AND TEAM SPORTS
Bibliographic record
Abstract
The objective of this study is to examine the changes in the self-respect, anxiety, and depression levels of the sportspeople studying at various departments of Selçuk University. The study group is constituted by totally 280 university students, 106 of whom doing individual and 174 doing team sports, being 123 females and 157 males. In the acquisition of the data, “Beck Depression Scale, Rosenberg Self-Perception Scale, and Beck Anxiety Scale were used. The diagnostic statistics of the data were conducted and their homogeneity and variances were tested. In the analysis of the data, Independent Samples t test was used and Pearson Correlation analysis was conducted. While no statistical change was observed in line with the age and accommodation factors, statistical significant changes were identified in the case of self-respect, anxiety and Depression levels in line with the gender and the type of sports done (p<0.05). It is contemplated that the changes between the female and male students stem from the cultural structure in addition to the social structure, social responsibility, and duties, and it can be said that the reason for the values of self-respect, anxiety, and Depression in students performing team sports are more positive than those of the students doing individual sports arises from the specific structure of the sportive branches.Keywords: University Student, Anxiety, Self-respect, Depression, Sports
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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 | 0.001 |
| 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) | 0.001 | 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".