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Record W1979139106 · doi:10.3917/ling.372.0135

Histoire d'une traduction : Funeral Blues de W. H. Auden

2002· article· en· W1979139106 on OpenAlexaff
Bérangère Abdoul, Elsa Chu Del Aguila, Effrossyni Fragkou, Lucie Hamelin, Anthony Michael, Lionel Tona, Sarah Quinn

Bibliographic record

VenueLa linguistique · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsYork University
Fundersnot available
KeywordsBluesPoetryStylisticsTerminologyLiteratureSelection (genetic algorithm)ArtPhilosophyLinguisticsArt historyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

RéSUMé The article presented here recounts the different stages of a functionalist translation of the W. H. Auden poem, Funeral Blues. The first part relates to the selection and justification of the methodology chosen by the group. Next, is a summary of the analysis of the original poem, including stylistics and terminology. The third part is devoted to the development of the translation, its various obstacles, including some examples of proposed translations in view of the " definitive " French version of the poem 1 .

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)0.002
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 score0.014
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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
Published2002
Admission routes1
Has abstractyes

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