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Record W8329764 · doi:10.1002/rcm.1290070604

The Invisible War: Violences and Violations in Writing under Censorship in Franco's Spain

2009· article· en· W8329764 on OpenAlexvenueno aff
Susan Mooney

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtSpanish Civil WarPolitical scienceLaw

Abstract

fetched live from OpenAlex

Este artículo considera temas de violencia y modos narrativos que producen "cicatrices" en varias novelas españolas de la dictadura: Señas de identidad (1966) y Reivindicación del conde don Julián (1970), de Juan Goytisolo; Si te dicen que caí (1973), de Juan Marsé; y Volverás a Región (1967), de Juan Benet. Estas obras desafían los criterios y la fuerza de la censura franquista y presentan relaciones complejas entre los vencidos y los vencedores de la Guerra Civil, sobre todo en la complicación del concepto de la masculinidad española, el uso del masoquismo como arma de poder y el recurso de la figura del sacrificio. Los modos masculinos se pueden comparar con la mímesis de la feminidad según la teoría de Luce Irigaray. Estas novelas no prevén una victoria feliz alternativa. En actos de autoformación (self-fashioning) y contextualización nacional, proponen una erotizada autodestrucción perpetua y el desengaño, así como un masoquismo agónico a veces confundido con el sacrificio.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.235
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

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