Vulnerability and resilience in human development : a festschrift for Ann and Alan Clarke
Bibliographic record
Abstract
Introduction: Ann and Alan Clarke an appreciation, Barbara Tizard. PART I. New Perspectives on Nature and Nurture. 1. Nature, nurture and psychopathology: A new look at an old topic, Michael Rutter, Honorary Director, Medical Research Council Child Psychiatry Unit. 2. Early experience and the parent-child relationship: genetic and environmental interactions as developmental determinants, H. Rudolf Schaffer, Professor of Psychology, University of Strathclyde. PART II. Longitudinal Studies of Vulnerability and Resilience. 3. Assets and deficits in the behaviour of people with Down's Syndrome - a longitudinal study, Janet Carr, PhD, C Psychol, FBPsS, Regional Tutor in the Psychology of Mental and Multiple Handicap, St George's Hospital Medical School. 4. Interactions between offspring and parents in development, Stella Chess, Professor of Child Psychiatry, and Alexander Thomas, Professor of Psychiatry, New York University Medical Centre. 5. Escaping from a bad start, Doria Pilling, Research Fellow, Rehabilitation Resource Centre, City University. 6. Vulnerability and resilience in adults who were classified as mildly mentally retarded in childhood, Stephen Richardson Professor Emeritus and Helen Koller, Principal Associate, Albert Einstein College, New York. PART III. Vulnerability, resilience, and rehabilitation from biological and psycho-social stress. 7. Reducing mental and related handicaps: a biomedical perspective, J. M. Berg, Professor Emeritus, Faculty of Medicine, University of Toronto. 8. Rehabilitation of the dyspraxic dysphasic adult, Robert Fawcus, Professor of Clinical Communication Studies and Margaret Fawcus, Department of Clinical Communication Studies, City University. 9. Vulnerability and resilience to early cerebral injury, Edgar Miller, Department of Health. 10. Educating children with severe learning difficulties: challenging vulnerability, Peter Mittler, Director, School of Education, University of Manchester. 11. Resilience and vulnerability in child survivors of disasters, William Yule, Professor of Applied Child Psychology, Institute of Psychiatry, University of London. PART IV. Responses to Psychosocial Stress. 12. A useful old age, Don C Charles, Professor Emeritus, Department of Psychology, Iowa State University. 13. Troubled and troublesome: perspectives on adolescent hurt, Masud Hoghugi, Honorary Professor of Psychology at the University of Hull, Director of the Aycliffe Centre for Children. 14. Implications of the Warsaw Study for Social and Educational planning, Ignacy Wald, Institute of Psychiatry and Neurology, Warsaw, and Anna Firkowska-Mankiewicz, Polish Academy of Sciences, Warsaw. Index.
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.021 |
| Insufficient payload (model declined to judge) | 0.010 | 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".