Bibliographic record
Abstract
Ce volume est issu de deux colloques organises par la FISIER a Montreal et Cambridge. Cet ouvrage a pour cœur les bibliotheques d’ecrivains (Rabelais, Montaigne, de Thou, Aldrovandi). Les approches de la genetique textuelle et de la « forme » bibliotheque (contenu et contenant) se conjuguent pour etudier sur le vif le jaillissement creatif. Plusieurs etudes sur les bibliotheques encyclopediques decrivent la circulation des livres, l’impact de la censure et leur role de diffuseur clturel. Des textes sur les bibliotheques publiques au XVIIe siecle, l’architecture des bibliotheques italiennes (de Petrarque a Bembo) et la reconstitution de bibliotheques dispersees ou disparues de Rasse des Noeux, Etienne Pasquier, Philippe Desportes, Simone Porzio et Benedetto Varchi, permettent une reflexion sur le developpement des bibliotheques de demain, et sur la renaissance de bibliotheques detruites (Turin, 1904).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.058 | 0.016 |
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".