An Investigation into the Barriers for University Students to the Use of Recreation Areas
Bibliographic record
Abstract
In this research, it is aimed to determine the participation barriers of the students who are studying in sports departments of the university and living in different geographical areas related to the use of recreation area by the municipalities. The study group, the universities in four regions in Turkey 135 girls and 197 boys studying sports science constitute a total of 332 students. As a data collection tool; Gümüs, H. & Alay Özgül, S. The scale of participation barriers to the use of recreation area consisting of 17 questions and five sub-dimensions developed in 2017 was used. The findings show that the data do not have a normal distribution. In the evaluation of the data, Mann Whitney-U test was used for paired comparisons and Kruskall Wallis Analysis test was used for three and more comparisons, and significant differences were found in the sub-dimensions of department variable, gender, place of residence and use of private vehicles (P <0.05).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".