Future Alternatives for Educational Leadership: Diversity, Inclusion, Equity and Democracy
Bibliographic record
Abstract
This book offers provocations for what’s now and what’s next in educational leadership, simultaneously bringing the field both back to its basics—of equity, democracy, humanity, and education for all—and forward to productive, innovative, and necessary possibilities. Written during the pandemic reality of 2020, this collection shares the global voices and expertise of prominent and emerging leaders, scholars, and practitioners in education from the UK, the United States, South America, Canada, Europe, Australia, and the Middle East. The authors engage with the complexities and uncertainties of leading in education. They examine research, reflections, and real stories from which school leaders, education system leaders, policymakers, and researchers in the field of educational leadership, can learn, and in which they will find honesty, authority, and inspiration to guide the future of the field. \n \nThe new perspectives and hopeful alternatives presented in this outstanding book are essential to researchers, school leaders, and policymakers, and are key to advancing education into positive and democratic futures.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.008 |
| 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 teacher head, 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".