An Analysis of Coaches’ Unethical Behaviors in terms of Sociodemographic Variables
Bibliographic record
Abstract
In addition to physical struggle, sports are also closely related to moral behaviors and attitudes. The will to succeedand win which plays a central role in sports also brings about various ethical questions. In this respect, the presentstudy aims to analyze coaches’ unethical behaviors in terms of socio-demographic variables. To this aim, a total of173 students comprised of 100 male students and 73 female students were invited to participate in the present study.“Athlete Perception Scale about Coaches’ Unethical Behaviors” developed by Güven and Öncü (2012) and a“personal information form” developed by the researcher was used data collection tools in the present study, and thefindings indicate a normal data distribution. No significant differences were found among scale scores in terms ofgender, sports branch and level of sportsmanship. However, it was also demonstrated that years of athletic experiencehad a significant effect on students’ views on coaches’ unethical behaviors.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".