Mapping the scholarly landscape: a bibliometric exploration of school head leadership competency
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 bibliometric study examines the trends and contributions in school head leadership competencies from 2015 to 2024, using data from Scopus and employing VOSviewer. The research aims to provide a comprehensive overview of the scholarly literature on leadership competencies in the range of a school head. The methodology involves a thorough bibliometric process, including the organization, coordination, and analysis of bibliographic data from peer-reviewed academic journals. The specific methods used to define the research area are mapping of important contributors and co-authorship patterns, document co-citation analysis, and keyword frequency analysis. Preliminary results indicate a peak in publications up to 2023, with a notable decline in 2024. The study highlights significant international collaborations, with the United States at the core of a global network involving countries like Canada, Australia, and Turkey. Keywords such as "transformational leadership," "equity," and "school climate" are prominent, reflecting a broad approach to exploring effective leadership. In conclusion, the field of school head leadership competencies is dynamic, driven by global collaboration and evolving educational challenges. The recent decline in publications signals a need for new research directions. Future studies should explore unexplored areas and integrate technological advancements to enhance school head leadership competencies effectively.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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