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Record W2545333450 · doi:10.1075/btl.67.14whi

Between Translation and Traduction

2006· book-chapter· en· W2545333450 on OpenAlexaboutno aff
Agnès Whitfield

Bibliographic record

VenueBenjamins translation library · 2006
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTranslation (biology)Computer scienceBiology

Abstract

fetched live from OpenAlex

Several translation paradoxes underlie the writing and translation of the classic Canadian novel, Two Solitudes, whose very title has come to symbolize the irreconcilable gap between Anglophones and Francophones in Canada. These paradoxes reflect the intercultural nature of the book’s themes, the contrary crossreadings of both the original and its translation (the book was well received by both groups for opposite reasons), the colonial position of both nascent English and Québécois literary institutions, and the absence, in both cultures, of any clearly defined horizon of expectations for literary translation. Using Antoine Berman’s distinction between the actual translation (or traduction) of a text and the reception process (or translation) in the receiving culture, one appreciates the need for a more extensive analysis of the reception (translation) process, an analysis that looks both backwards in time to identify the hidden translation intertexts within the original text (Two Solitudes is in fact a translation of a Québec novel, Trente Arpents), and forward in time to clarify how a translated text can inform the more general intercultural process of translation between two languages.

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)0.004
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0080.037
Scholarly communication0.0150.012
Open science0.0010.004
Research integrity0.0020.006
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 head0.072
GPT teacher head0.231
Teacher spread0.159 · 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
GenreOther

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

Citations1
Published2006
Admission routes1
Has abstractyes

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