Bibliographic record
Abstract
\n \n \n \n\nProf.dr.ir. C.G. (Caspar) Chorus\n \n\nc.g.chorus@tudelft.nl\n \n \n \n\nEditor-In-Chief \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nDr. O. (Oded) Cats\n \n\no.cats@tudelft.nl\n \n \n \n\nAssociate Editor \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nProf.dr. B. van Wee\n \n\ng.p.vanwee@tudelft.nl\n \n \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nProf.dr.ir. V.A.W.J. Marchau\n \n\nv.marchau@fm.ru.nl\n \n \n \n\nRadboud University Nijmegen, The Netherlands\n \n \n \n \n \n\nProf.dr.ir. S. Hoogendoorn\n \n\ns.p.hoogendoorn@tudelft.nl\n \n \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nDr. D. Stead\n \n\nd.stead@tudelft.nl\n \n \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nProf.dr.ir. L. Tavasszy\n \n\nl.a.tavassszy@tudelft.nl\n \n \n \n\nDelft University of Technology, The Netherlands\n \n \n \n \n \n\nProf.dr.ir. R.E.C.M. Van der Heijden\n \n\nr.vanderheijden@fm.ru.nl\n \n \n \n\nRadboud University Nijmegen, The Netherlands\n \n \n \n \n \n\nProf.dr. E. Van de Voorde\n \n\neddy.vandevoorde@uantwerpen.be\n \n \n \n\nUniversity of Antwerp, Belgium\n \n \n \n \n \n\nProf.dr. F. Witlox\n \n\nfrank.witlox@ugent.be\n \n \n \n\nGhent University, Belgium\n \n \n \n \n \n \n \n \n \nAdvisory Board \nPeter Nijkamp (Chairman)\nVU University, The Netherlands\n\nKay Axhausen\nETH Zurich, Switzerland\n\nDavid Banister\nUniversity College London, UK\n\nMichel Beuthe\nFacultés Universitaires Catholiques de Mons, Belgium\n\nMichel Bierlaire\nEPFL Lausanne, Switzerland\n\nPiet Bovy\nDelft University of Technology, The Netherlands\n\nOliver Carsten\nLeeds, University, UK\n\nDavid Hensher\nUniversity of Sydney, Australia\n\nVeli Himanen\nTechnical Research Centre of Finland (FIN), Finland\n\nMartin Lanzendorf\nGoethe Universität Frankfurt, Germany\n\nRico Maggi\nUniversity of Zürich, Switzerland\n\nPatricia Mokhtarian\nUC Davis, USA\n\nTae Oum\nUniversity of British Columbia, Canada\n\nRobert E. Paaswell\nCity University of New York, USA\n\nAura Regiani\nUniversity of Bologna, Italy\n\nPiet Rietveld (†)\nVU University, The Netherlands\n\nDaniel Shefer\nTechnion-Israel Institure of Technology, Israel\n\nJos van Ommeren\nVU University, The Netherlands\n\nErik Verhoef\nVU University, The Netherlands\n\nJoan Walker\nUC Berkeley, USA \n \n \n
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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.345 | 0.300 |
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".