Blue Angels: Female Fascist Resisters, Spies and Intelligence Officials in the Spanish Civil War, 1936–9
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".