Richard de Fournival et les sciences au XIIIe siecle edited by Joelle Ducos and Christopher Lucken
Bibliographic record
Abstract
Edited by Joëlle Ducos and Christopher Lucken, Richard de Fournival et les sciences au XIIIe siècle focuses on one of the most fascinating intellectuals of the 13th century. Although Fournival studied in Paris and lived for some time in Rome, it was in Amiens that he spent most of his life. In some respects, Fournival may be compared with his English contemporary Robert Grosseteste. Both were polymaths interested in science, theology, and literature. Although less prolific than Grosseteste, Richard de Fournival wrote literary works in French—the most renowned being his Bestiaire d’Amours—and a number of scientific treatises. Some of these works are lost (e.g., his treatise on urines), while others such as his De arte alchemica are ascribed to him in the manuscript tradition, yet their attribution is still questioned. Reviewed by: Nicola Polloni, Published Online (2021-08-31)Copyright © 2021 by Nicola PolloniThis open access publication is distributed under a Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND) Article PDF Link: https://jps.library.utoronto.ca/index.php/aestimatio/article/view/37739/28738 Corresponding Author: Nicola Polloni,KU LeuvenE-Mail: nicola.polloni@kuleuven.be
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".