Nurturing the wellbeing of students in difficulty
Bibliographic record
Abstract
«This book is an opportunity to pay tribute to Professor Paul Cooper, whose long career in the field of young people with emotional and behavioral difficulties has made it possible to greatly influence the understanding of the difficulties of these children and the interventions that are implemented to them. I have never seen, in the same book, such a diverse collection of topics, but which nevertheless offers a very coherent and relevant whole.» (Caroline Couture, Tenured Professor, Department of Psychoeducation and Social Work, Université du Québec à Trois-Rivières) «The originality of this book lies in bringing together a set of mature reflections by international authors on the understanding of the nature of SEBD and the challenges of equitable inclusive education in relation to students with SEBD.» (Paul Bartolo, Department of Psychology, Faculty for Social Wellbeing, University of Malta) Paul Cooper dedicated his academic life researching and writing to advance theory and practice to nurture and enhance the wellbeing of marginalised and disadvantaged children, at a time when such children were not only voiceless and disenfranchised but frequently at the receiving end of punitive and exclusionary practices. In this book various colleagues share their work and insights into how Paul Cooper’s pioneering work was instrumental in advancing the field they were working on and inspired them to further extend and develop the area themselves through their research and publications. Social, emotional and behaviour difficulties, the perspectives of students, nurture groups, the biopsychosocial perspective to special educational needs and disability, the wellbeing of students, especially those most marginalised, these have become keywords endemically attached to Paul Cooper.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".