A Bibliometric Analysis of Research on Extracurricular Sports Activities and Attitudes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The aim of this study is to reveal the research trends, conceptual structures, influential authors, collaboration networks and geographical distributions in the field by conducting a bibliometric analysis of scientific publications on extracurricular sports activities and attitudes. The study aims to systematically evaluate the current status of the literature in the field and to provide inferences that can guide future research. Method: 153 documents published in the Web of Science database between 1980 and 2025 were examined. The data were analyzed with VOSviewer and Bibliometrix R programs. Findings: ‘Attitudes’, ‘children’, ‘sport’ were the most frequently used terms. The USA, Australia, the United Kingdom and Canada stood out as the most effective countries. Conclusion: Extracurricular sports activities and attitudes have become an increasingly popular area of interest in the literature. This study contributes to understanding the current structure and future research directions in the field.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.051 | 0.146 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it