Bibliographic record
Abstract
The Self-Transforming School combines an insightful meta-analysis of factors contributing to the success of schools, and an examination of powerful mega-trends that are shaping developments in education, to offer the first mega-analysis in education policy and practice. The book spans fifty years, beginning with Caldwell and Spinks’ ground-breaking work The Self-Managing School which advocated innovative approaches that are now accepted as preferred practice, before offering a prognosis and plan for the future. The book argues that all schools in all settings can secure success for all students in an era where society and the economy are changing constantly and dramatically. Although schools find some support in local and global networks, externally designed re-structuring, re-staffing, or command-and-control direction isn’t sufficient to achieve transformation. Instead of replicating particular approaches to achieve modest improvement, leadership of the highest quality needs to be deeply embedded in schools and their systems. Caldwell and Spinks propose three important points that need to be taken into consideration:-schools are often at different stages of self-transformation -self-transformation requires a high level of professionalism, and must include teacher education and on-going professional development -funding is critically important, and efforts to build a capacity for self-transformation are constrained by what is available. The book gives particular attention to developments in Australia, Brazil, Canada, England, Finland, Hong Kong, India, New Zealand, Shanghai, Singapore and the United States. It will be of key interest to school leaders, policy makers, and academics and postgraduate students engaged in research on equity, student performance in highly disadvantaged settings and education policy.
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 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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".