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Record W4412767186 · doi:10.5539/ijel.v15n4p101

Translation Challenges in Art Manifestos: Valerie Solanas’s SCUM Manifesto

2025· article· en· W4412767186 on OpenAlexvenueno aff
Katarzyna Nitka

Bibliographic record

VenueInternational Journal of English Linguistics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoTranslation (biology)ArtArt historyPolitical scienceChemistryLaw

Abstract

fetched live from OpenAlex

The genre of art manifestos occupies a distinct position within art writing due to the diversity of forms it encompasses and the inherent ambiguity of such texts. Manifestos are crafted to assert a particular stance and persuade others of its validity, presenting significant challenges in translation, as the translator’s primary task is to preserve their original impact. This article explores these challenges, aiming to identify key difficulties and propose practical solutions that may serve as general guidelines for translating manifestos and similarly context-dependent, emotionally charged texts. The study centers on a close analysis of a representative excerpt from Valerie Solanas’s SCUM Manifesto (1971) and its Polish translation, framed by a theoretical overview of the manifesto genre—its origins, characteristics, functions, and forms. The analysis demonstrates that successful manifesto translation requires not only linguistic precision but also a nuanced understanding of the text’s cultural, historical, and affective dimensions. Given the genre’s context-sensitive and often radical nature, such texts may be difficult for contemporary readers to fully grasp. As such, they benefit from accompanying interpretive frameworks that help preserve their rhetorical force and support reader engagement.

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)0.001
metaresearch head score (Gemma)0.046
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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