Bibliographic record
Abstract
Gagan Agrawal, Ohio State University, USA Kevin Almeroth, University of California at Santa Barbara, USA Toshiyuki Amagasa, Nara Institute of Science and Technology, Japan Bernady O. Apduhan, Kyushu Sangyo University, Japan Roberto Baldoni, University of Roma, Italy Leonard Barolli, Fukuoka Institute Technology, Japan Djamal Benslimane, University of Lyon1, France Walter Binder, EPFL, Switzerland Jiannong Cao, Hong Kong Polytechnic University, Hong Kong Pedro Angel Cuenca Castillo, Universidad de Castilla La Mancha, Spain Kuo-Ming Chao, Coventry University, UK Murat Demirbas, MIT, USA Wenliang Du, Syracuse University, USA Arjan Durresi, Louisiana State University, USA Eylem Ekici, Ohio State University, USA Tomoya Enokido, Tokyo Denki University, Japan Alvaro A. A. Fernandes, University of Manchester, UK Ning Gu, Fudan University, China Naohiro Hayashibara, Japan Advanced Institute of Science and Technology, Japan Dieter Hogrefe, University of Gottingen, Germany Runhe Huang, Hosei University, Japan Jason C. Hung, Kuang Wu Institute of Technology, Taiwan Michel Hurfin, IRISA, France Weijia Jia, City University of Hong Kong, Hong Kong Masashi Kastumata, Nippon Institute of Technology, Japan Yuka Kato, University of Electro-Communications, Japan Cheeha Kim, Pohang University of Science and Technology, Korea Harald Kosch, Universitaet Klagenfurt, Austria Choonhwa Lee, Hanyang University, Republic of Korea Victor Lee, City University of Hong Kong, Hong Kong Chin-Laung Lei, National Taiwan University, Taiwan Howard Leung, City University of Hong Kong, Hong Kong Jiandong Li, Xidian University, China Jie Li, University of Tsukuba, Japan Yinsheng Li, Fudan University, China Jim-Min Lin, Feng Chia University, Taiwan Jonathan C. L. Liu, University of Florida, USA Peng Liu, The Pennsylvania State University, USA Yunhao Liu, Hong Kong University of Science and Technology, Hong Kong Zakaria Maamar, Zayed University, UAE Sanjay Kumar Madria, University of Missouri-Rolla, USA Guiseppe De Marco, Fukuoka Institute of Technology, Japan Vojislav Misic, University of Manitoba, Canada Jelena Misic, University of Manitoba, Canada Tomasz Muldner, Acadia University, Canada S.M.F.D Syed Mustapha, University of Malaya, Malaysia Tomoyuki Nagase, Hirosaki University, Japan Shoichi Nakamura, Tohoku Gakuin University, Japan Asis Nasipuri, University of North Carolina at Charlotte, USA Joseph Ng, Hong Kong Baptist University, Hong Kong Kok-Leong Ong, Deakin University, Australia Ai-Chun Pang, National Taiwan University, Taiwan
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".