Bibliometric analysis of leadership and physical education based on Scopus data
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
This paper aims to conduct a bibliometric analysis of articles published in the Scopus database on leadership and physical education. The bibliographic data set was administered using VOSviewer. According to the search results, there were a combined 614 articles on leadership and physical education studies. Additionally, the researchers restricted the search to English-language journal articles and the types of documents that may be found. Consequently, 427 articles worth of records were discovered. Based on publications in the Scopus database, the findings revealed that the development of publications in the fields of leadership and physical education has increased, although there is an up-and-down trend from year to year; “quest” became the first choice among other publication media to publish research results; Beauchamp from Canada is the most contributing and influential author on this topic; physical education, physical activity, leadership, curriculum, transformational leadership, adolescents, health, sport, professional development, and education are keywords that frequently feature in those. Therefore, by highlighting specific gaps, a thorough analysis of leadership in physical education might help scholars and practitioners advance current understanding in this field.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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