Jardins, vergers et maisons-bibliothèques : Jardins, vergers et maisons-bibliothèques ?
Bibliographic record
Abstract
Il fut un âge où les livres étaient manuscrits, où l’on tutoyait le candide lecteur en tête d’ouvrage et où les sommes de santé, de chimie, d’alchimie, de philologie ou de grammaire souvent s’écrivaient comme des conversations. Les titres de ces ouvrages de référence anciens et sans cesse repris, imités, continués invitaient à la promenade : viridarium (bosquet ou parc), silva (forêt), frutetum (verger), seminarium (pépinière), hortus (jardin) font défiler, en ouverture des textes, les paysages d’une promenade dans le savoir. « Jardins chymiques », « vergers de la santé », « pépinières de la science » évoquent ainsi sur les rayons des bibliothèques médiévales non pas les massifs bâtiments d’encyclopédies systématiques mais les déambulations des lecteurs et compilateurs par les chemins du savoir.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads 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".