Bibliographic record
Abstract
The aim of this study was to evaluate the relationship between the triple managerial skills (perceptual, human and technical) among physical education managers of Fars province and demographic characteristics (age, work experience, management experience, educational level, athletic experience, field of study, gender).The research method was descriptive and conducted through field study.A researcher-made questionnaire was used to collect data for this study which its validity was calculated (789.0%) by professors of sports management and its reliability was also found 85.0%.The results showed that the technical skill with average score of 39.12 was of the highest importance and perceptual skill with a mean of 23.12 was of the lowest importance from the perspective of subjects.In addition, there is no relationship between some demographic characteristics and skills of managers and there is only significant negative correlation between managerial experience and technical skills of managers.Multivariable regression results suggest that management experience; educational level and work experience have a direct and positive relationship with dependent variable.So it can be concluded these variables had a significant role in the triple management skills.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.891 | 0.881 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".