Bibliographic record
Abstract
C.J.A. Mathieu de Dombasle (1777-1843) est un agronome lorrain connu pour la conception d’une charrue sans avant-train innovante en 1821, et pour la rédaction de ce qui est considéré alors comme la première théorie de la charrue en langue française. Il est aussi à l’origine du premier établissement d’enseignement agricole français. Ce parcours s’éclaire par le contexte européen et la circulation des idées agronomiques : Mathieu de Dombasle ne cesse de s’inspirer des travaux de l’agronome prussien Albrecht Thaer ou des anglais Arthur Young et John Sinclair. Il traduit et discute les idées de Thaer et Sinclair. Longtemps l’agriculture anglaise à représenté un idéal pour les agronomes français des XVIII e et XIX e siècles. Ici, l’exemple de Mathieu de Dombasle permet de montrer le poids de l’agronomie germanique et de nuancer celui de l’agronomie anglaise sur les pratiques et les référents théoriques des agronomes français de l’époque.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".