Sustainable Leadership Supporting Educational Transformation
Bibliographic record
Abstract
The world, influenced by 21st century technologies and ecological challenges, has rapidly changed with more ability to “connect” locally and globally and more opportunities to learn from a range of sources. As a result, our learners and their needs have changed. With such rapid changes, conceptions of educational leadership need to reflect these changes utilizing the complexities of the role in society. As a group of educators who work in a School District, Ministry of Education and University teacher education programs, we ask how educational leaders in school districts and teacher education programs can design spaces that engage everyone, recognize everyone’s expertise and share responsibility for growth and development, and how in teacher education we can begin to move away from the hierarchical, industrialized model of management to one where everyone feels engaged, valued, and heard. In this paper, we draw on sustainable and distributed leadership ideas, termed by Wheatley (2010) as the “new sciences,” informed by tenets from complexity theory. Using a case study approach and narrative insights, this paper elucidates how an ongoing Professional Learning Network (PLN) called Link-to-Practice (L2P) offers an alternative conception of educational leadership. Keywords: case study; narrative, qualitative research, complexity theory
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".