Investigation of Perceptions Concerning Leadership Roles of Physical Education and Sport Teachers
Bibliographic record
Abstract
This study aims to investigate the perceptions of physical education and sport teachers who work in the city Bayburt concerning teacher leadership roles in terms of various variables. The population of the study consists of 42 physical education and sport teachers who work in the city Bayburt. Sampling has not been used as the whole population is included. The chapter in which the perceptions of teachers have been evaluated is used from The Scale of Perception and Expectation Identification Concerning Teacher Leadership which was developed by Beycioğlu (2009) to identify the perceptions of physical education and sport teachers concerning teacher leadership. According to the test of analysis of independent sample t-test, it is identified that female teachers have higher averages than male teachers at institutional development subscale and scale total point. Furthermore, it is found that physical education and sport teachers who have a less than 10 years experience have higher averages compared to those who have a more than 10 years experience at institutional development, professional development, collaboration among colleagues’ subscales and scale total point (p < .05). As a result, it can be stated that physical education and sport teachers who have a less than 10 years experience take part more in performing studies that are based on collaboration, creating an impact on the students and colleagues with model behavior and performing executive activities as compared to teachers who have 10 years and more experience.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".