Bibliographic record
Abstract
C'est un portrait nuancé que donne Jean-Pierre Bois dans cet ouvrage où il met en lumière des aspects de l'action d'un personnage controversé, méconnus à cause de son passé d'aventurier ou effacés par sa trahison de 1793.Il a échoué là où Bonaparte a réussi ; mais est-ce une simple question de malchance liée aux circonstances ?Quand bien même eût-il réussi, avait-il assez d'envergure pour tenir le rôle que joua Bonaparte ?La lecture de ce livre précis et argumenté, qui se garde d'accabler Dumouriez, autorise une réponse négative.L'intérêt de l'ouvrage est ailleurs.S'intitulant Héros et proscrit, il aurait pu être sous-titré : le guerrier et l'homme de plume.L'écrivain militaire et politique se montre maintes fois pénétrant et prémonitoire, sans toutefois atteindre la hauteur de vue des philosophes militaires dont son ami Guibert.L'homme de guerre donne sa pleine mesure lors d'une période charnière de l'histoire militaire.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".