Bibliographic record
Abstract
Extract Pascale Brillet‐Dubois is Maître de conférences in Greek language and literature at the Université Lumière Lyon 2, France. Claude Calame is Professor of Greek at the Université de Lausanne and Directeur d’études at the École des Hautes Études en Sciences Sociales in Paris, France. Mike Chappell is Lecturer in the Open University in London, England. Jenny Clay is William R. Kenan, Jr., Professor of Classics at the University of Virginia, USA. Andrew Faulkner is Associate Professor of Classics at the University of Waterloo, Canada. Nancy Felson is Emerita Professor of Classics at the University of Georgia, USA. William Furley is Apl. Professor in the Seminar für Klassische Philologie, Universität Heidelberg, Germany and Senior Research Fellow, Institute of Classical Studies, London, England. Dominique Jaillard is Maître d'enseignement et de recherche at the Université de Lausanne, Switzerland. Gregory Nagy is Francis Jones Professor of Classical Greek Literature and Professor of Comparative Literature...
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.611 | 0.436 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".