Making Schools Different: Alternative Approaches to Educating Young People
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
<p>What can we do with students who don't succeed in the typical classroom, and what are the alternatives to full-time schooling?</p><p>With contributions from leading academics from Canada, America, the UK, The Netherlands and Australia, this internationally-minded book helps the reader to reflect on the ways young people are taught, and presents possible alternative approaches. Global social and economic changes and technological developments are driving the need for change within education, so that we can better cater for a diversity of young people. This book offers a forward-looking overview of where we are now, and where we might want to go in the future.</p><p>It includes chapters on:</p><p>- educational innovations;</p><p>- learning identities;</p><p>- learning spaces;</p><p>- e-learning and remote students;</p><p>- alternatives in education.</p><p>This book will open your mind to the changing experience of schooling, and highlights new and different ways to help those whose needs simply don't fit into the usual mould.</p><p>Suitable for all those on all undergraduate and postgraduate Education courses, and for those on Education Studies and Childhood and Youth courses, this book is an engaging, thought-provoking read.</p>
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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