Determination of the Success Orientations and Self-Consciousness Levels of the Students from the Faculty of Sports Science
Bibliographic record
Abstract
The aim of this study is to determine the success orientations and self-consciousness levels of the students in the higher education institutions providing sports education and to examine these according to some variables. The sample of the study consists of 202 students, 90 female and 112 male students, attending Gazi University Faculty of Sports Sciences at different departments and class levels. In the direction of the findings obtained in the research, it is seen that the participants got the highest mean scores from the “learning approach” and “learning avoidance” sub-dimensions of “Success Orientation Scale” (=3.80, =3.05). In this respect it can be stated that the participants are eager to improve their knowledge and skill levels, they take into account the learning process and try to avoid making mistakes. When the sub-dimensions of the Self-Consciousness Scale are examined, it appears that the self-consciousness levels of participants are above the mean (=2.22). This result shows that participants have awareness of their own thoughts and feelings and that they think more towards themselves in their daily lives. In addition, it was determined that the participants' success orientations did not show any significant difference according to gender, department, class and age variables (p>.05). Furthermore, self-consciousness levels of participants did not show any significant difference according to gender, department, age variables, but they were significance in favor of the 1st grade participants according to class variable (p <.05).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".