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Record W1810535246 · doi:10.3917/gmcc.259.0021

Retrouver son rang et gagner sa place. Le rôle de la victoire du Belvédère dans l’armée française renaissante

2015· article· fr· W1810535246 on OpenAlexaff
Ivan Cadeau

Bibliographic record

VenueGuerres mondiales et conflits contemporains · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsCanadian Historical Association
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À partir de 1943, l’armée française réorganisée sur le modèle américain doit prouver aux alliés qu’elle constitue toujours une puissance militaire. Les combats victorieux de la 3e DIA sur le Colle Belvédère permettent d’en faire la démonstration en même temps qu’ils donnent du crédit au général de Gaulle dans ses discussions avec les Anglo-saxons. Victoire militaire, victoire politique, le succès du Belvédère puis, plus tard, ceux remportés en Italie, doivent également contribuer à resserrer les liens entre la France et les populations d’Afrique du Nord. Dans ce dernier domaine, l’égalité et l’unité promises aux tirailleurs cèdent la place, à après la guerre à la frustration et aux désillusions.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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.

Opus teacher head0.031
GPT teacher head0.253
Teacher spread0.222 · 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
GenreEmpirical

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

Citations1
Published2015
Admission routes1
Has abstractyes

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