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Record W3191199654 · doi:10.7202/1079322ar

Archival research in translation and censorship: Digging into the “true museum of Francoism”

2021· article· en· W3191199654 on OpenAlexvenueno aff
Sergio Lobejón Santos, Cristina Gómez Castro, María del Camino Gutiérrez Lanza

Bibliographic record

VenueMeta Journal des traducteurs · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCensorshipHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Systematic research on translation and censorship in Francoist Spain started roughly ten years after the dismantling of the regime’s censorship apparatus in 1985, following the opening of the censorship archives at the Archivo General de la Administración (AGA) in Alcalá de Henares. Since then, numerous comprehensive studies on the translation of various genres have been produced, all of them making extensive use of the censorship files issued and archived by the regime as their main source of information. However, little to no reflection has been done on the structure, usefulness and reliability of those data. This paper examines archival sources in translation and censorship, delving into the AGA’s history and structure, as well as its unique position as a censorship repository. It describes the AGA’s document collections on censored cultural artefacts and the possibilities they afford to study the impact of censorship on the translation of various text types. Ultimately, it argues that while AGA data have proved to be a key component in censorship research in Spain, complementary information is essential in reconstructing translation activity at the time and to ascertain how textual changes observed in censored translations came about.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.210
GPT teacher head0.348
Teacher spread0.138 · 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.

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

Citations16
Published2021
Admission routes1
Has abstractyes

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Same venueMeta Journal des traducteursSame topicTranslation Studies and PracticesFrench-language works237,207