Diderot et le temps qu’il fait : portrait de l’écrivain en météorologue
Bibliographic record
Abstract
Dire les histoires de la nature au siècle des Lumières, qui fut l’âge d’or de ces grands récits, c’est nécessairement penser aux temps-vecteurs qui en rendent possibles les divers déploiements. Mais dire ces histoires, ce n’est pas seulement penser le « temps qu’il est » : c’est aussi, en ces temps où émerge une science de la terre qui s’efforce de mesurer les effets des éléments et des climats sur la nature, donner au « temps qu’il fait » la part qui lui échoit. À travers une rapide étude du statut météorologique de la fiction diderotienne, nous proposons de voir dans l’émergence de cette nouvelle science du temps dans la seconde moitié du xviiie siècle le symptôme d’une interrogation nouvelle sur la place du sujet dans le monde ainsi que sur les modalités et les conditions du savoir de ce sujet sur le monde.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".