Bibliographic record
Abstract
Citation (2014), "List of contributors", International Educational Innovation and Public Sector Entrepreneurship (International Perspectives on Education and Society, Vol. 23), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S1479-3679(2013)0000023005 Publisher: Emerald Group Publishing Limited Copyright © 2014 Emerald Group Publishing Limited Emily Anderson Pennsylvania State University, University Park, PA, USA Matthew Aruch University of Maryland, College Park, MD, USA Thomas Barakat University of Waterloo, Waterloo, Canada Aryn Baxter University of Minnesota, Minneapolis, MN, USA Vijaya Sherry Chand Indian Institute of Management, Ahmedabad, India David W. Chapman University of Minnesota, Minneapolis, MN, USA Joan DeJaeghere University of Minnesota, Minneapolis, MN, USA Åsa Falk-Lundqvist Umeå University, Umeå, Sweden Mir Nazmul Islam Ontario Ministry of Citizenship and Immigration, Toronto, Canada Eva Leffler Umeå University, Umeå, Sweden Ana Loja Universidad de Cuenca, Cuenca, Ecuador Andrea Peebles University of Waterloo, Waterloo, Canada Amy R. Pekol University of Minnesota, Minneapolis, MN, USA Radu Daniel Prelipcean Ontario Public Service, Toronto, Canada James B. Sanders University of Maryland, College Park, MD, USA Tamara Weiss University of Minnesota, Minneapolis, MN, USA Alexander W. Wiseman Lehigh University, Bethlehem, PA, USA Jianming Yao University of Waterloo, Waterloo, Canada Seng P. Yeoh Asia e University (AeU), Kuala Lumpur, Malaysia Book Chapters International Educational Innovation and Public Sector Entrepreneurship International Perspectives on Education and Society International Perspectives on Education and Society Copyright Page List of contributors Preface Internationally Comparative Approaches to Innovation and Entrepreneurship in Education Youth Entrepreneurship Education and Training for Poverty Alleviation: A Review of International Literature and Local Experiences Socio-Educational Entrepreneurship Within the Public Sector: Leveraging Teacher-Driven Innovations for Improvement Developing Innovation and Entrepreneurial Skills in Youth Through Mass Education: The example of ICT in the UAE The Impact of Public Sector Entrepreneurship in International Education on Skilled Migration A Comparative Analysis of Canadian and Australian International Education Social Entrepreneurship and Information and Communication Technologies in Ecuador: Examples and Opportunities What about Students’ Right to the “Right” Education? An Entrepreneurial Attitude to Teaching and Learning Entrepreneurs in Private Higher Education: A Case Study of Education Entrepreneurs in a Middle Income Economy Promises and Challenges for Innovation and Entrepreneurship in Education About the Authors Subject 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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.731 | 0.750 |
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".