Content Analysis of Turkish Job Satisfaction Studies in the Field of Sports Management: A Qualitative Meta-Synthesis Study
Bibliographic record
Abstract
This study is a meta-synthesis research, which focuses on studies conducted in the field of sports management and featured job satisfaction variable. In this study, a total of 22 studies, which were conducted between 2000 and 2017, were examined and the findings were presented in certain themes after applying meta-synthesis research method processes. In order to determine whether a study should be included in the analysis, Educational Resources Information Centre (ERIC), Google Scholar Search Engine, YÖK (The Council of Higher Education) National Thesis Centre, Dergipark and TUBITAK (Turkish Scientific and Technological Research Council) Ulakbim databases were employed. Studies were thoroughly examined regarding their research methods, sample groups, analysis data usage, and findings. In conclusion, within the context of its analyses, this research is envisioned to guide future studies and help increase job satisfaction awareness in the field of sports management.
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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 | 0.068 | 0.125 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.021 | 0.016 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".