Examination of Exercise Dependency Levels and State of Loneliness in Students of Sports Sciences Faculty
Bibliographic record
Abstract
The aim of this study is to investigate the dependence levels and loneliness status of students studying in sports sciences. The study group of the study consisted of 204 sports science students, 68 women and 136 men with an average age of 20.75 ± 2.47. For the purpose of collecting data, “Exercise Dependancy Scale” developed by Tekkurşun-Demir, Hazar and Cicioğlu (2018) and the“Loneliness Scale” Turkish adaptation of the scale was made by Demir (1989) were used. Descriptive statistics such as frequency and percentage and Mann Whitney U, Kruskall Wallis and Spearman Correlation analysis were used for data analysis. According to the findings of the study, it was observed that students were in the dependent group rarely experienced loneliness. A significant difference was found in the loneliness score of the students according to gender. Significant differences were found in the postponement of exercise dependence scale, individual and social needs and conflict sub-dimension according to students’ were being licensed. According to the frequency of participation in the exercise, there was a significant difference between the postponement of individual and social needs of the exercise dependence scale and the development of the conflict, tolerance and passion. In the correlation analysis of the scales, no significant relationship was found between loneliness and exercise dependence. As a result, in our study, although it was seen that the loneliness levels of the students studying in sports sciences were low, it was concluded that male students were lonelier than female students. In addition, it can be said that students are included in the exercise dependent group, because of the fact that these students are kneaded with sports and due to their sports background, they can adjust the dose and duration of the exercise correctly, and thus they do not postpone their social and individual needs as a part of their lives.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".