Les conflits contemporains au regard de la Grande Guerre : ressemblances et dissemblances
Bibliographic record
Abstract
Au moment où nous commémorons la première guerre mondiale il est intéressant de revenir sur ce conflit « hors norme » qui reste encore d’actualité un siècle après son déroulement. Cet intérêt pour la Grande Guerre s’explique par la nécessité d’en comprendre les tenants et aboutissants pour mieux connaître notre époque et les conflits contemporains. La première guerre mondiale marque le début d’une ère nouvelle de la conflictualité. Peut-elle être considérée comme une matrice des conflits du xx e et xxi e siècles ? Pour répondre à cette question nous chercherons à établir les ressemblances et dissemblances qui existent entre la Grande Guerre et les conflits contemporains en croisant la nature de la guerre et celle du système international.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".