Zuccolin, Gabriella, ed. Summa doctrina et certa experientia. Studi su medicina e filosofia per Chiara Crisciani
Bibliographic record
Abstract
Anyone undertaking research in the fields of medieval science, scholastic medicine (its institutional and epistemological aspects), alchemy, and the history of medicine will inevitably compare Chiara Crisciani's work and the doctrines set forth in these studia, especially with regard to matters of everyday practice.This hefty volume is dedicated to Crisciani as a birthday gift in recognition of her outstanding, tireless work and generosity, as shown by her frequent involvement in research by colleagues and students.Edited by her colleague and friend, Gabriella Zuccolin, it is published by SISMEL (Società Internazionale per lo studio del Medioevo Latino) as part of the Micrologus Library series.Having published many of Crisciani's works, SISMEL is the ideal promoter of this project, given the international character and excellence of its output and, in particular, the interdisciplinary nature of the Micrologus Library series.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".