Asian Perspectives on Teacher Education
Bibliographic record
Abstract
1. Introduction Suzuki Shin'ichi (Saitama-ken, Japan) 2. Teachers' Role in the Transition and Transmission of Culture Yuri Ishii (Faculty of Education, Yamaguchi University, Yamaguchi, Japan) & Mari Shiobara (Music Education, Tokyo Gakugei University, Tokyo, Japan) 3. Alternate routes in initial teacher education: a critical review of the research and policy implications for Hong Kong Kwok Chan Lai & David Grossman (Hong Kong Institute of Education, Hong Kong, People's Republic of China) 4. Teacher Education in a global context: Towards a Defensible Theory of Teacher Education Richard Bates (Faculty of Education, Deakin University, Victoria, Australia) 5. Educators in American Online Universities: Understanding the Corporate Influence on Higher Education Miki Yoshimura (Graduate School of Education, Old Dominion University, Norfolk, USA) 6. Developing a Feedback Cycle in Teacher Training: Local Networking in English Education at Keiwa College Joy Williams, Akiko Shibanuma, Yoko Matsuzaki, Aiko Kanayama, & Atsumi Ito (Department of English and Communication, Keiwa College, Niigata, Japan) 7. Gender inequality among Japanese high school teachers: Women teachers' resistance to gender bias in occupational culture Tomonmi Miyajima (Human Development Unit, The World Bank, Middle East and North Africa Region, Washington DC, USA) 8. Teacher Induction Across The Pacific: A Comparative Study Of Canada And Japan Edward R. Howe (Utsunomiya University, Utsunomiya, Japan) 9. Reform of Teacher Education in China Xiaoguang Shi (Institute for Higher Education Studies, Peking University, Beijing, People's Republic of China) and Peter Englert (Centre for Chinese Studies, University of Hawaii at Manoa, Honolulu, USA) 10. Early Childhood Teacher Education in China Jiaxiong Zhu (Department of Early Childhood Education, East China Normal University, Shanghai, People's Republic of China) 11. English Education and Teacher Education in South Korea Seongja Jo (Graduate School of Education, Waseda University, Tokyo, Japan and Taerang Middle School, Seoul, Korea) 12. Development of Primary English Education and Teacher Training in Korea Shiga Mikio (Center for International Programme and Exchange, University of Electro-Communications, Tokyo, Japan) 13. Educational Reform and Teacher Education in Vietnam Takashi Hamono (Ochanomizu University, Tokyo Japan) Afterword Shin'ichi Suzuki (Saitama-ken, Japan)
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 0.006 |
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".