Guerre et contre-terrorisme
Bibliographic record
Abstract
Andromaque : il m'a jur que cette guerre tait la dernire Cassandre : C'tait la dernire. La suivante l'attend . Giraudoux J., La Guerre de Troie n'aura pas lieu, Paris, Bernard Grasset, 1935, p. 12 (acte 1, scne premire) Q uel est le rle du contre-terrorisme guerrier, et plus gnralement des interventions militaires, dans la gense de la violence dite terroriste ? Cette question a merg dans le dbat public francophone -et principalement franais - la fin de l'anne 2020 la suite d'une tribune publie par le Nouvel Observateur. Un collectif d'une soixantaine d'artistes, d'intellectuels et de spcialistes a avanc la thse, dite du pompier-pyromane , selon laquelle La guerre ne constitue pas une rponse stratgique au terrorisme. Sans tre la cause unique de celui-ci, elle alimente le phnomne qu'elle prtend combattre 1 . Il s'enuivit une controverse, plus experte , laquelle trois groupes ont particip : des chercheurs travaillant dans le domaine des tudes stratgiques, des spcialistes des tudes quantitatives du terrorisme et des spcialistes des tudes qualitatives du terrorisme. Les premiers ont critiqu la thse du pompier-pyromane , estimant que la France est attaque pour ce qu'elle est, non pour ce qu'elle fait 2 . Les seconds ont expliqu dans quelle mesure les tudes quantitatives apportent du crdit la thse du pompierpyromane 3 . Les troisimes ont galement dfendu cette thse partir de leur 1 .
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".