School Principals' Support for Distributed Leadership: A Review of Transformational and Distributed Leadership Literature
Bibliographic record
Abstract
This literature study focuses on the relationship between transformational and distributed leadership in educational settings, aiming to provide insights into the compatibility of these leadership paradigms. Contrary to the assertion that transformational leaders might resist distributed leadership, the synthesis of empirical studies and theoretical frameworks reveals a nuanced dynamic. Transformational leaders, characterized by visionary thinking and inspiration, are inclined towards supporting distributed leadership practices by empowering staff, delegating authority, and fostering collaborative decision-making. The literature underscores the importance of contextual factors, such as organizational culture and leaders' willingness to relinquish control, in shaping the effectiveness of distributed leadership. Considering the practical implications, an integrated strategy that acknowledges the benefits of transformative and distributed leadership is paramount. Instructors are encouraged to develop dynamic, adaptable leadership cultures specific to their learning environments' requirements. Further empirical research is necessary to deepen the understanding of the interplay between these leadership styles, especially in diverse educational settings.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".