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Record W4390313077 · doi:10.3917/rma.192.0457zs

Kelly DEVRIES,Robert DOUGLAS SMITH, MedievalMilitary Technology , 2 e éd.,Toronto, Toronto U.P., 2012 ; 1 vol. in-8 o , XVIII–356 p. ISBN : 978-1-4426-0497-1. Prix : € 34,95.

2013· article· fr· W4390313077 on OpenAlexaboutno aff
Claude Gaier

Bibliographic record

VenueLe Moyen Age · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The War between the Awans and the Waroux. A “Vendetta” in the Hesbaye of Liège (1297–1335) The war between the Awans and the Waroux has always been viewed as a prototype of an aristocratic family war in the country around Liège. In fact, with the exception of a few contingents of foot soldiers, cavalry played a dominant role throughout the conflict. The art of war was beginning to involve a much broader range of weapons, and the people of Hesbaye refused to change their style of combat, or their life style, which were expressions of their status. This attachment to tradition and to the old ways was also found in the mechanisms of lineage solidarity affected by this conflict, which, based on a series of very simple ties (between brothers, cousins, uncles and nephews, and brothers-in-law), structured the Hesbaye nobility. Finally, the conflict did not do away, either quantitively or qualitatively, with the nobility in the country of Liège, as many writers have claimed.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0600.034

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractno

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