Strategies of High School Students to Cope With Stress through Leisure Time
Bibliographic record
Abstract
It was aimed in this study to reveal and compare strategies of students of three types of high schools to cope with stress through leisure time. The research population consisted of high school students in Konya province, Turkey. The sample consisted of 280 male and 224 female vocational high school, Anatolian high school and sports high school students. In the study, the Demographic Personal Information Form was used to collect personal information. The “Strategies to Cope with Stress through Leisure Time Scale” (SCSLTS) was used to identify the leisure time strategies. This scale was developed by Iwasaki and Mannell (2000). It was translated into Turkish, and its validity and reliability studies were conducted by Çevik, Özcan and Munusturlar (2018). No difference was found in the strategies of the students to cope with stress through leisure time according to the grade level, income, and maternal and paternal educational level factors. Statistical variations were observed based on the gender and sporting factors (p<.05). There was no statistically significant difference in the mood enhancement dimension depending on the school type factor. However, it was found that the mean scores of the vocational high school students in terms of the dimensions of leisure time friendship and temporary coping ability were higher than those of the students of the other schools, and these differences were also statistically significant (p<.05). The vocational high school students had higher mean scores in the leisure time strategies sub-dimension than the students of other schools. Accordingly, it can be said that the leisure time strategy scores may differ according to the school type and that the students receiving vocational education were more optimistic in determining leisure time strategies than the students of Anatolian high school and sports high school.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".