Bibliographic record
Abstract
This chapter explores how the Sociedad Argentina de Escritores (SADE, established in 1928) and the Sociedad de Escritores de Chile (SECh, established in 1931) became actively involved with antifascism in relation to national and international processes connected to the rise of fascism, the Spanish Civil War, World War II, and the Cold War. Each association’s trajectory was specifically shaped by each country’s context. In Argentina, SADE’s politicization unfolded under military regimes, conservative fraudulently elected governments, and Juan Perón’s regime (1946–55). In Chile, SECh’s politicization developed in the context of the governments of the Popular Front (1938–52) and the relative strength of leftist parties. This comparative analysis reveals convergences and differences and highlights the networks that connected writers at multiple levels, providing a new angle on the local and transnational frameworks for the antifascist struggle in the 1930s and 1940s and its transition to Cold War-era divisions.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".