The Leadership Orientations of the Students Receiving Sports Education in Turkey
Bibliographic record
Abstract
This research has been planned to identify the factors related to the assessment of “The Leadership Orientations” of the students receiving sports education (physical education and sports teacher, sports management, recreation, trainer education departments) in the universities in Turkey. This descriptive study has a population consisting of the students receiving sports education in the universities in Turkey and a sample of totally 1032 students (N: 1032) (who attend physical education and sports teacher, sports management, recreation, trainer education departments). The data has been collected using The Student Information Form and the Leadership Orientation Survey. According to the means of sub-scales of “Leadership Orientations by Sexes” obtained by the students receiving sports education, a significant difference has been identified between the frames of “Transformational Leadership” and “Charismatic Leadership”. This difference can be explained by the fact that male students consider themselves more competent compared to the female students in these two sub-scales. Consequently, when the mean points of the sub-scales of the Leadership Orientation Survey [Self] obtained by the students receiving sports education in Turkey are compared, it has been observed that the direction and strength of relation between sex, class, department and school is “positive” and “moderate” and also those students have “people-oriented leadership” characteristics among the sub-scales of the leadership orientation frames.
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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 | 0.001 | 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".