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Record W2141942602 · doi:10.7202/1013947ar

Ingmar Bergman, maternidad y Franquismo: Traducción y censura de En el umbral de la vida

2013· article· fr· W2141942602 on OpenAlexvenueno aff
Rosario Garnemark

Bibliographic record

VenueMeta Journal des traducteurs · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicKierkegaardian Philosophy and Influence
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

La politique culturelle développée en Espagne pendant le régime franquiste (1939-1975) était caractérisée par un contrôle strict des répertoires culturels en circulation. Une manifestation très visible de ce protectionnisme culturel était l’établissement d’une censure d’État, qui réglait la production et la diffusion culturelles. En analysant les pratiques de censure étatiques dans En el umbral de la vida (Nära livet, 1958), d’Ingmar Bergman, notre article prétend contribuer à l’étude des façons de traduire de l’époque franquiste. S’inspirant du tournant culturel des études descriptives en traduction, et notamment des notions de mécénat et traduction comme réécriture, développées par Lefevere (1992), notre analyse veut montrer certains partis pris idéologiques qui guidaient la manipulation franquiste du discours filmique bergmanien. Tandis que l’original En el umbral de la vida présentait la maternité de façon ambigüe, la censure effaçait toute référence négative de ce film, favorisant ainsi le tendancieux discours franquiste sur ce phénomène.

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)0.003
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: none
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.020
GPT teacher head0.255
Teacher spread0.235 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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