Images de la nature dans les romans de la Grande Guerre : esquisse d’une typologie
Bibliographic record
Abstract
Dans un des meilleurs témoignages qui nous restent de la Grande Guerre, le Belge Deauville écrit : « La guerre, au milieu du spectacle coloré et changeant de la nature, est une chose mécanique, surajoutée, comme une voie de chemin de fer qui court dans un site de montagne ». Il annonce là, cinquante ans avant que le critique américain Léo Marx ne s’en empare, le paradigme selon lequel peuvent s’organiser pour l’homme les rapports conflictuels entre la nature et la guerre. S’appuyant sur un corpus important et qui montre la diversité des images à travers lesquelles 14-18 se donne à lire dans la littérature de fiction, cette contribution esquisse une typologie qui espère contribuer à baliser ce vaste champ thématique. Elle fournira l’occasion de nous arrêter aux six catégories majeures, sur un éventail qui se déploie de l’Arcadie à l’Apocalypse.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".