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Record W2086390283 · doi:10.1093/fh/17.1.19

Traditional Virtues, Feudal Ties and Royal Guards: The Culture of Service in the Eighteenth-Century Maison Militaire du Roi

2003· article· en· W2086390283 on OpenAlexaff
D. C. O'Brien

Bibliographic record

VenueFrench History · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFeudalismCourageHistoryInstitutionAncien regimeClassicsHumanitiesLawSociologyArtPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Recent discussions of French army reform before the Revolution have revived interest in the more general topic of military culture in the ancien régime. One account of this period speaks of an evolution in criteria for military merit, one in which professional efficiency came to overshadow traditional martial virtues, such as fidelity and courage. But a review of the evidence, both archival and published, from the Maison militaire du Roi reveals that here, at least, old virtues continued to be central until the end, serving as expressions of a relationship with the king in which royal grâces were their natural complement. Viewed historically, this conception of service continued a feudal tradition. The milieu of the Maison was distinctive in the encouragement it gave to such traditions, but the function of the institution as a pépinière of officers for the army gave it a potentially wide influence in balancing the tendencies towards professionalism.

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)0.002
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: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.016
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.027
GPT teacher head0.176
Teacher spread0.149 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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