Examination of the Concept of School Climate from the Perspective of Physical Education and Sports Teacher Candidates
Bibliographic record
Abstract
School climate, which is the sum of behaviors in a school, is also defined as the character of the school. A school’s climate has a significant impact on the quality of education, and on student success or failure. From this point of view, this study aims to examine the school climate from the perspectives of physical education and sports teacher candidates. To this end, the "School Climate Scale for University Students", developed by Ali R. Terzi, was applied to 303 physical education and sports teaching department students with three sub-factors. The data obtained were first subjected to a structure analysis and then to the reliability validity test, and the validity of the scale was determined. According to the type of variables, independent groups t-tests, one-way analysis of variance tests, post hoc tests, or effect size (Eta-square) tests were applied. While the answers given by the teacher candidates did not differ according to gender, a significant difference was found according to the grade they were studying in (in favor of first and fourth year students).
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".