Reviewer Acknowledgements for Journal of Mathematics Research, Vol. 11, No. 1
Bibliographic record
Abstract
Journal of Mathematics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated.
 
 Many authors, regardless of whether Journal of Mathematics Research publishes their work, appreciate the helpful feedback provided by the reviewers.
 
 Reviewers for Volume 11, Number 1
 
  
 
 Chung-Chuan Chen, National Taichung University of Education, Taiwan
 
 Cibele Cristina Trinca Watanabe, Federal University of Tocantins (UFT), Brazil
 
 Cinzia Bisi, Ferrara University, Italy
 
 Enrico Jabara, Universita di Ca Foscari, Italy
 
 Gener Santiago Subia, NUeva Ecija University of Science and Technology, Philippines
 
 Guy Biyogmam, Georgia College & State University, USA
 
 Hayat REZGUI, Ecole normale Supérieure de Kouba, Algeria
 
 Kuldeep Narain Mathur, University Utara Malaysia, Malaysia
 
 Liwei Shi, China University of Political Science and Law, China
 
 Luca Di Persio, University of Verona, Italy
 
 Mohammad A. AlQudah, German Jordanian University, Jordan
 
 N. V. Ramana Murty, Andhra Loyola College, India
 
 Neha Hooda, New Jersey City University, United States
 
 Omur Deveci, Kafkas University, Turkey
 
 Rami Ahmad El-Nabulsi, Athens Institute for Education and Research, Greece
 
 Rosalio G. Artes, Jr., Mindanao State University, Philippines
 
 Rovshan Bandaliyev, National Academy of Sciences of Azerbaijan, Azerbaijan
 
 Sanjib Kumar Datta, University of Kalyani, India
 
 Sergiy Koshkin, University of Houston Downtown, USA
 
 Sreedhara Rao Gunakala, The University of The West Indies, Trinidad and Tobago
 
 Xiaofei Zhao, Texas A&M University, United States
 
 Xingbo WANG, Foshan University, China
 
 Yaqin Feng, Ohio University, USA
 
 Youssef El-Khatib, United Arab Emirates University, United Arab Emirates
 
  
 
 Sophia Wang
 
 On behalf of,
 
 The Editorial Board of Journal of Mathematics Research
 
 Canadian Center of Science and Education
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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 | 0.022 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".