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Record W2072550589 · doi:10.7202/1013957ar

Three Lives of The Saint in Polish Voiceover Translation

2013· article· en· W2072550589 on OpenAlexvenueno aff
Agata Hołobut

Bibliographic record

VenueMeta Journal des traducteurs · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsIndividualismSection (typography)CommunismMedia studiesSociologyComputer scienceHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

The article adopts a diachronic perspective on Polish screen translation. It compares the voiceover version of the British series The Saint broadcast on public television under the old regime with more recent ones, released twenty-five and thirty years later. The main aim is to analyse traces of socio-cultural manipulation in the consecutive portrayals of the Western reality, with special emphasis on translation practice in the communist era. The first section provides historical background for the research, discussing the role of translated programmes in the first decades of the Polish Television. The second section focuses on manipulative techniques, such as projection, caricature, generalisation and omission, used by the earliest translators of the series to adapt the audiovisual message to the needs of communist propaganda. Specific examples illustrate how the Western reality was distorted to criticise materialism and individualism, promote selfless collectivism and class struggle and shape appropriate civic attitudes. The final section presents a brief overview of symptoms of socio-cultural manipulation in the more recent versions of the series, used to adapt it to the changed socio-political situation in Poland.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0080.004
Open science0.0000.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.063
GPT teacher head0.277
Teacher spread0.214 · 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 designQualitative
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

Citations4
Published2013
Admission routes1
Has abstractyes

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