Bibliographic record
Abstract
Citation (2015), "List of Contributors", Foundations of Inclusive Education Research (International Perspectives on Inclusive Education, Vol. 6), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S1479-363620150000006018 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Joseph Seyram Agbenyega Faculty of Education, Monash University, Frankston, Australia Julie Allan School of Education, University of Birmingham, Birmingham, UK Douglas Biklen School of Education, Syracuse University, Syracuse, NY, USA David J. Connor Department of Special Education, Hunter College, New York, NY, USA Scot Danforth College of Educational Studies, Chapman University, Orange, CA, USA Deborah J. Gallagher Department of Special Education, University of Northern Iowa, Cedar Falls, IA, USA Phyllis Jones College of Education, University of South Florida, Tampa, FL, USA Sunanta Klibthong Learning Research Institute, Bangkok, Thailand Tim Loreman Faculty of Education, Concordia University of Edmonton, Edmonton, Canada Hasheem Mannan School of Nursing, Midwifery & Health Systems, University College, Dublin, Ireland Srikala Naraian Teachers College, Columbia University, New York, NY, USA Sheila Riddell Centre for Research in Education Inclusion and Diversity, University of Edinburgh, Edinburgh, UK Umesh Sharma Faculty of Education, Monash University, Melbourne, Australia S. Anthony Thompson Faculty of Education, University of Regina, Regina, Canada Simo Vehmas Department of Social Research, University of Helsinki, Helsinki, Finland Book Chapters Foundations of Inclusive Education Research International Perspectives on Inclusive Education Foundations of Inclusive Education Research Copyright Page List of Contributors Dedication From Special Education to Integration to Genuine Inclusion Developing a Critical Sociology of Special and Inclusive Education: The Contribution of Sally Tomlinson Stealth Bureaucracy in Sally Tomlinson’s Irresistible Rise of the SEN Industry Questioning Assumptions: Roger Slee and Julie Allan’s Reconsideration of Inclusive Education Interrupting the Prevailing Discourse on Special Education: Political and Sociological Perspectives Offered by Len Barton The Bumpy Road to Genuinely Inclusive Schools: Still Learning from Ferguson’s ‘Rabid’ Confessions of an Authentic Inclusionist New Linkages for a Complex Inclusive Education: Third World Feminism, Post-Positivist Realism and Disability Studies Do Attitudes Predict Behaviour – An (un)Solved Mystery? Under the Mentorship of John Dewey: Democratic Lessons for Inclusive Education Re-imagining Inclusive Research and Practice: A Focus on Bourdieu’s Concepts of Habitus, Capital, Doxa and Field Assembling All the Jigsaw Pieces Together: The Critical Work of Dorothy Lipsky and Alan Gartner’s Inclusion and School Reform Why the Pursuit of Inclusive Education Cannot be Left to Science: Lessons from the Work of Burton Blatt The Illusion of Our Separativeness: Exploring Heshusius’s Concept of Participatory Consciousness in Disability Research and Inclusive Education The Sociological Straitjacket and the Ethics of Exclusion
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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.688 | 0.683 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".