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Record W2012264216 · doi:10.1163/22116257-00201002

The Iron Guard and the ‘Modern State’. Iron Guard Leaders Vasile Marin and Ion I. Moţa, and the ‘New European Order’

2012· article· en· W2012264216 on OpenAlexaff
Mircea Platon

Bibliographic record

VenueFascism · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsInstitute for Christian Studies
FundersUniversity of Minnesota
KeywordsIdeologyHistoriographyModernityPoliticsReactionaryPolitical economyPolitical scienceCommunismSociologyAgrarian societyLawAestheticsHistoryPhilosophy

Abstract

fetched live from OpenAlex

Historians and literary scholars still working in a Cold War paradigm cast Romanian Fascism as a form of reactionary resistance to liberal modernity, and not as a competing modernizing discourse and drive. Nevertheless, in a 1933 programmatic article, the Legionnaire leader, ideologue, and ‘martyr’ Vasile Marin wrote that political concepts such as ‘the Right,’ ‘the Left,’ and ‘extremism’ lost their relevance in Romania, as well as in Europe. They had been replaced by a ‘totalitarian view of the national life,’ which was common to Fascism, National-Socialism, and the Legion. This new ‘concept’ would allow Romania to ‘overcome, by absorbing them, the democratic and socialist experiences and would create the modern state,’ – a ‘totalitarian’ state. The present article aims to consolidate the conceptual gains of ‘new consensus’ historiography, which views the Iron Guard as part of a global revolutionary movement that was spurred by the practice of a political religion promising a ‘national rebirth’ or a ‘complete cultural’ and anthropological ‘renewal.’ Far from militating for national autarchy and populist-agrarian conservatism, the two Legionnaire leaders discussed in my article sought to align Romania with the modernizing, industrializing drive of Western European Fascism.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations7
Published2012
Admission routes1
Has abstractyes

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