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Record W2796665943 · doi:10.3138/cjh.ach.53.1.01

From <i>Zouaves Pontificaux</i> to the <i>Volontaires de l'Ouest</i>: Catholic Volunteers and the French Nation, 1860–1910

2018· article· en· W2796665943 on OpenAlexvenueno aff
Martin Simpson

Bibliographic record

VenueJournal of History · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)BattlePatriotismBannerSovereigntyPoliticsLawPolitical scienceHistorySociologyAncient historyArchaeology

Abstract

fetched live from OpenAlex

This article examines the French papal zouaves, volunteers who fought for the defence of the temporal sovereignty of the Pope in the decade 1860–1870, and their successors, the irregular Volunteers of the West. The latter was a volunteer force formed around the returning zouaves in the context of the 1870–71 Franco-Prussian war. It explores Catholic discourse on the zouaves and the Volontaires between 1860 and 1910, comparing the defenders of Rome with the defenders of France. The concern is to understand how service in the Franco-Prussian war impacted upon Catholic interpretations of the zouaves. In particular, their heroic if suicidal charge in the battle of Loigny under the banner of the Sacred Heart aligned them with this devotion, that flourished in 1870–71 and would culminate in the Sacré-Cœur de Montmartre. The Volontaires also offered political arguments about the relationship between patriotism and Catholic convictions, deployed in the context of debates about French regeneration. Yet in terms of ideas of expiation, national history and counter-revolution the discourse on the Volontaires reflected the original discourse on the zouaves developed in the decade 1860–70. Ultimately they stood for a vision of French history and French identity diametrically opposed to the legacy of 1789, a challenge to the Republic's official vision.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.204
Teacher spread0.187 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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