Bibliographic record
Abstract
The Open Mathematics Journal is an Open Access online journal which publishes original research articles in pure mathematics. \nThe Open Mathematics Journal, a peer-reviewed journal, aims to provide the most complete and reliable source of information on the current developments in the field of pure mathematics. The emphasis will be on publishing quality articles rapidly and freely available to researchers worldwide. \nWeb address: \nhttp://www.bentham.org/open/tomatj/index.htm \nEditorial Board: \nO. Ageev (Moscow State Technical University, Moscow, Russia) \nJ.E. Avron (Technion-Israel Institute of Technology, Haifa, Israel) \nZ. Balogh (University of Bern, Bern, Switzerland) \nV.V. Bavula (University of Sheffield, Sheffield, UK) \nP. Bleher (Indiana University Purdue University, Indianapolis, IN, USA) \nB. Bollobás (Memphis State University, Memphis, TN, USA) \nA. Borichev (University of Provence, Marseille, France) \nP. Bourdon (Washington and Lee University, Lexington, VA, USA) \nL. Bunimovich (Georgia Institute of Technology, Atlanta, GA, USA) \nJ. Cao (University of Notre Dame, Notre Dame, IN, USA) \nG.-Q. Chen (Northwestern University, Evanston, IL, USA) \nM. Chipot (Universität Zürich, Zurich, Switzerland) \nA. CoÌrdoba (Universidad AutoÌnoma de Madrid, Madrid, Spain) \nA. Constantin (Trinity College Dublin, Dublin, Ireland) \nB. Dacorogna (Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland) \nE.R.van Dam (Tilburg University, Tilburg, The Netherlands) \nN. Dencker (Lund University, Lund, Sweden) \nL. Ein (University of Illinois, Chicago, IL, USA) \nR. Farnsteiner (Universität Bielefeld, Bielefeld, Germany) \nS. Ferry (Rutgers University, Piscataway, NJ, USA) \nP. Fife (University of Utah, East Salt Lake City, UT, USA) \nN. Garofalo (Purdue University, West Lafayette, IN, USA) \nN. Ghoussoub (University of British Columbia, Vancouver, BC, Canada) \nR. Graham (University of California at San Diego, San Diego, CA, USA) \nE. Grenier (Université Paris, Paris, France) \nG. Harcos (Alfréd Rényi Institute of Mathematics, Budapest, Hungary) \nC. Heuberger (Institut für Optimierung und Diskrete Mathematik, Graz, Styria, Austria) \nJ. Hofbauer (University of Vienna, Vienna, Austria) \nS. Ivanov (University of Illinois, Urbana, IL, USA) \nZ. Jelonek (Instytut Matematyki, Kraków, Poland) \nJ. Kaczorowski (A. Mickiewicz University, Poznan, Poland) \nI. Kim (Seoul National University, Seoul, South Korea) \nM. Levi (Pennsylvania State University, University Park, PA, USA) \nL.C. Li (Pennsylvania State University, University Park, PA, USA) \nT. Li (Boston College, Chestnut Hill, MA, USA) \nZ. Lin (Kansas State University, Manhattan, KS, USA) \nJ.-G Liu (University of Maryland, College Park, MD, USA) \nF. Luo (Rutgers University, Piscataway, NJ, USA) \nA. Martinez (Universita' di Bologna, Bologna, Italy) \nC. Martínez (Universitat Politècnica de Catalunya, Barcelona, Spain) \nV.K. Murty (University of Toronto, Toronto, ON, Canada) \nA. Nemethi (Ohio State University, Columbus, OH, USA) \nM.J. Pacifico (University of Federal do rio de Janeiro, Rio de Janeiro, Brazil) \nL. Peng (Sichuan University, Chengdu, China) \nJ.K. Percus (New York University, New York, NY, USA) \nA. Premet (University of Manchester, Manchester, UK) \nH. Prodinger (Stellenbosch University, Stellenbosch, South Africa) \nA. Pukhlikov (University of Liverpool, Liverpool, UK) \nM. Putinar (University of California, Santa Barbara, CA, USA) \nZ. Shen (Indiana University, Indianapolis, IN, USA) \nI.P. Shestakov (Universidade de São Paulo, São Paulo, Brazil) \nC. Shuxing (Fudan University, Shanghai, China) \nJ. Sjöstrand (CMLS Ecole Polytechnique, Palaiseau, France) \nS. Zelditch (The Johns Hopkins University, Baltimore, MD, USA)
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 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 | 0.011 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.032 | 0.020 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.167 | 0.108 |
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".