Investigating Attitudes of Sports Science Faculty Students Towards Scientific Research
Bibliographic record
Abstract
The purpose of this study was to investigate the attitudes of Sports science faculty students towards scientific research. The sample of this study consisted of 360 Sports science faculty students receiving pedagogical formation at Trakya, Iğdır, Recep Tayyip Erdoğan, Siirt, Çanakkale Onsekiz Mart University in Turkey. A demographic features form developed by researcher for determining the demographical features of participants and the ‘Scale of Attitudes towards Scientific Research’ developed by Korkmaz, Şahin, and Yeşil (2011) were used as a data collection tool. For the comparison of quantitative continuous data between two independent groups’ t-test, and for the comparison of quantitative data between groups a One Way Anova test was used for data analysis. As a complementary Post-hoc analysis; the Tukey test was used to determine the differences after the Anova test. As a result, Sports science faculty students were determined to have different attitudes towards scientific research in terms of several variables. However, participants who wanted to become an academician were determined to have positive attitudes towards scientific research and researchers.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".