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Record W2579927651 · doi:10.1177/0022009416668039

Blue Angels: Female Fascist Resisters, Spies and Intelligence Officials in the Spanish Civil War, 1936–9

2016· article· en· W2579927651 on OpenAlex
Sofía Rodríguez López, Antonio Cazorla Sánchez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Contemporary History · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish History and Politics
Canadian institutionsTrent University
Fundersnot available
KeywordsSpanish Civil WarAntithesisNationalismEspionageLawResistance (ecology)Political scienceGender studiesReligious studiesSociologyLiteratureArtPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Pro-Franco or, if the reader prefers, Nationalist women, were supposed to be the antithesis of the only women who, it has been assumed, were really active in the war: Republican women. Pro-Franco women are assumed to have supported both established social and gender traditions, having collaborated in the war effort without transgressing these roles. This article argues that historians have underestimated pro-Franco women’s participation in anti-Republican underground activities, in part because they have tended to make a false distinction between a ‘real’ Fifth Column, where men were clearly predominant, and ‘merely’ supportive roles, where women were crucial and often in the majority. On the contrary, this article argues that Nationalist women played a key, active role in intelligence activities in the Fifth Column, in acts of resistance against the Republic and also when posted abroad conducting espionage activities, or working in information gathering behind Francoist lines.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.418
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.242
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