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Record W2315751922 · doi:10.3167/hrrh.2011.370103

Re-thinking Antimilitarism: France 1898-1914

2011· article· en· W2315751922 on OpenAlexvenueno aff
Elizabeth Propes

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismMainstreamMarxist philosophyThe RepublicPolitical scienceSpanish Civil WarFrench revolutionHistoryPolitical economyEconomic historySociologyLawPhilosophyPoliticsEpistemology

Abstract

fetched live from OpenAlex

Conservative French nationalists had successfully labeled antimilitarism as antinationalist in the two decades preceding World War I. Because some of the more vocal antimilitarists were also involved in anarchist and radical Marxist organizations, historians largely have accepted this antinationalist label while also arguing that French nationalism had lost its connections to the French Revolution and become a more extremist, protofascist movement. A closer look at mainstream antimilitarist arguments, however, reveals the continued existence of the republican nationalism that had dominated the nineteenth century and shows that antimilitarists did not reject their nation. Instead, antimilitarists sought to protect the Republic, which they saw as synonymous with the nation, against an increasingly conservative, anti-Republic military and conservative nationalists, whom antimilitarists saw as a danger to a republican France.

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 score0.273
Threshold uncertainty score0.544

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 studies0.0090.009
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.097
GPT teacher head0.264
Teacher spread0.166 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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