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Record W2617736990 · doi:10.1093/ehr/cex090

Radicalisation, Community and the Politics of Protest in the Spanish Second Republic: Asturias, 1931–34

2017· article· en· W2617736990 on OpenAlexaff
Matthew Kerry

Bibliographic record

VenueThe English Historical Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish History and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsLeft-wing politicsPoliticsAlienationMilitantContext (archaeology)IdeologyPolitical scienceThe RepublicState (computer science)Competition (biology)Political economyEuropean unionSpanish Civil WarSociologyLawEconomic historyHistory

Abstract

fetched live from OpenAlex

Abstract In October 1934 thousands of leftists took up arms in a two-week revolutionary insurrection in the northern Spanish region of Asturias which shook the Second Republic (1931–1936) and formed part of a critical European juncture of protest in 1934. This article rethinks the process of radicalisation—a key process for understanding both the insurrection and the wider polarisation of Spanish society prior to the Civil War—in the context of the Asturian coalfields. I argue that radicalisation, understood as a more militant, confrontational mode of politics, rather than as having any particular ideological content, needs to be located in the struggles, divisions and anxieties at a local level, shaped by understandings of community, within the wider national and international context. Increased tension and confrontation was due to a combination of factors, including competition amongst different leftist groups to present themselves as the most anticlerical, alienation from the main mining union, anxieties over the perceived emergence of fascism, and a spiral of protest and repression shaped by a more heavy-handed state policing strategy in 1934. The interplay of social and political factors provided the energy behind the revolutionary insurrection. This serves to re-evaluate the process of radicalisation in the Second Republic, and the politics and struggles of the working class in a dark and tumultuous decade for the European left.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.266
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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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