Bibliographic record
Abstract
<div><p><em>Journal of Mathematics Research</em> 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.</p><p>Many authors, regardless of whether <em>Journal of Mathematics Research</em> publishes their work, appreciate the helpful feedback provided by the reviewers.</p><p><strong>Reviewers for Volume 8, Number 4</strong></p><p><strong> </strong></p></div><strong><br clear="all" /> </strong><p><span style="font-family: Times New Roman; font-size: medium;">Abdelaziz Mennouni</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Alberto Simoes</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Ali Berkol</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Antonio Boccuto</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Arman Aghili</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Cecília Rosa</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Chung-Chuan Chen</span></p><p><span style="font-family: Times New Roman; font-size: medium;">David Bartl</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Dimple Chalishajar</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Eric José Avila</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Hari M. Srivastava</span></p><p><span style="font-family: Times New Roman; font-size: medium;">K.V.L.N.ACHARYULU</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Khalil Ezzinbi</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Kuldeep Narain Mathur</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Li Wang</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Michael Wohlgenannt</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Mohammad Sajid</span></p><p><span style="font-family: Times New Roman; font-size: medium;">N. V. Ramana Murty</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Ömür DEVECİ</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Pengcheng Xiao</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Philip Philipoff</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Prof.Maria Alessandra Ragusa</span></p><p><span style="font-family: Times New Roman; font-size: medium;">R. Roopkumar</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Roberto S. Costas-Santos</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Rosalio G. Artes</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Saima Anis</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Sanjib Kumar Datta</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Selcuk Koyuncu</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Sergiy Koshkin</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Sreedhara Rao Gunakala</span></p><p><span style="font-family: Times New Roman; font-size: medium;">Vishnu Narayan Mishra</span></p>
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 | 0.007 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".