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Record W7133341944 · doi:10.4000/15shf

Révolutionner l’artillerie

2025· book· fr· W7133341944 on OpenAlexaff
Christophe Pommier

Bibliographic record

VenuePresses universitaires du Septentrion eBooks · 2025
Typebook
Languagefr
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsSurpriseContext (archaeology)Work (physics)

Abstract

fetched live from OpenAlex

Les premières semaines de la Grande Guerre étonnent par les pertes massives subies chez l’ensemble des belligérants. Mais en quoi est-ce une surprise ? Depuis le milieu du xixe siècle, en Occident, l’industrialisation croissante, en particulier dans les secteurs de la chimie et de la sidérurgie, a largement bénéficié au domaine de l’armement : âme rayée, chargement par la culasse, nouvelles poudres explosives ou propulsives, maîtrise du tir rapide… Cet ouvrage explore les transformations majeures de l’artillerie entre 1852 et 1914, décrypte leurs conséquences dans les domaines de la doctrine militaire, de la fortification et de l’industrie de l’armement, tant nationale que privée, et offre des comparaisons avec la situation des grandes puissances militaires du moment. Une plongée au cœur d’une révolution technique aux conséquences décisives.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.006

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.

Opus teacher head0.011
GPT teacher head0.220
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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