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Record W3047473505 · doi:10.7202/1070269ar

Translation Jousts and Translation Genres

2020· article· en· W3047473505 on OpenAlexvenueno aff
Maria Snyder

Bibliographic record

VenueMémoires du livre · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingContext (archaeology)Transformative learningRewritingLiteratureLinguisticsArtHistorySociologyPhilosophyComputer scienceArchaeologyPsychology

Abstract

fetched live from OpenAlex

The Quais du polar book festival in Lyon is more than a site of commerce. Instead, the category of the polar, which brings together the mystery and roman noir, reveals the potential to destabilize literary hierarchies, foreground translation, and transform the role of place in a globalized genre. Using the insights of Lawrence Venuti, Benoît Tadié and Luc Boltanski, this essay examines how, within the polar category and in the context of the festival, foreignizing translations may upend linguistic and cultural hierarchies and transform genre categories. The communal and local experience of festivals events, its rewriting of southern American authors, and its reframing of the role of readers and translators all reveal the transformative potential of the polar and its cultural reception.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.020
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0110.022
Scholarly communication0.0200.008
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.038
GPT teacher head0.220
Teacher spread0.182 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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