Investigation of Entrepreneurship Levels and Employability Perception of Undergraduate Students Studying Sports Sciences
Bibliographic record
Abstract
The aim of this study is to investigate Entrepreneurship levels and Employability perceptions of Undergraduate Students in the department of Sports Sciences. Population of the study consists of the undergraduate students studying Sports Sciences in Eastern Anatolia region. Sample group of the study consists of 597 undergraduate students studying Sports Sciences ay 4th grade in Eastern Anatolia region. The personal information form has been used to identify the demographic features of the participants by the researchers. “Employability Scale” transcribed to Turkish by Karlı (2016) has been used to determine the employability of the participants and “Entrepreneurship Scale For Teacher Candidates” developed by Deveci and Çepni (2015) has been used to identify their conditions of entrepreneurship. Besides descriptive statics such as arithmetic average, standard deviation, frequency/percentage, normal distribution test, (Kolmogorov-Smirnov test) to test the hypothesis of the study, t-test (Mann-Withney U test) in pairwise comparison and variance analysis (Kruskal Wallis-H test) in multiple comparisons and correlation test (Spearman Correlation test) have been conducted. After the variance analysis, bonferroni correction method has been used to prevent type I and type II mistakes caused by pairwise comparisons conducted to identify in which groups there is a significant difference. SPSS 23 statistical package program has been used to create the tables and evaluate the data obtained from the study. As a consequence: while there is a significant difference according to variables of Condition of Taking Entrepreneurship Course, and Department in sub-dimensions of Employability Scale and Entrepreneurship Scale For Teacher Candidates, no significant difference has been seen according to Gender. Significant difference and relations have been found out in the entrepreneurship levels and employability.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".