Investigation of Physical Education Teachers’ Altruism Features
Bibliographic record
Abstract
Purpose of the research: it is aimed to examine whether the levels of altruism of Physical Education and sports teachers differ according to some variables. This research consists of a total of 126 teachers, 35 women and 91 men, who work as physical education and sports teachers at primary education secondary grade and secondary schools in Kütahya province. In the research, ‘Personal Information Form’ developed by the researcher and the 20-item Altruism scale, which consists of two factors and was formed by Ersanlı and Çabuker (2015) with the aim of developing a measurement tool that can measure the individual’s level of altruism and that is suitable for Turkish society and culture. In reliability validity analysis, Cronbach Alpha internal consistency coefficient was found as α=.76.The analysis related to the questionnaire form used in the research and the scale was done through the SPSS 22 program. Mann-Whitney U test and Kruskal Wallis test were conducted for more than two independent sample groups. As a result of the research; when the results were analyzed according to gender, age, place of duty, school type, year variables of teachers working as physical education and sports teachers, no significant difference was seen due to the high level of teachers’ altruism points.
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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 | 0.005 |
| 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 | 0.001 |
| 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".