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Record W2161668474 · doi:10.7202/044823ar

A Glimpse from the Chambord Staircase at Translation’s Role in Comparative Literature

2010· article· en· W2161668474 on OpenAlexaffvenueabout
Jane Koustas

Bibliographic record

VenueTTR traduction terminologie rédaction · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsBrock University
Fundersnot available
KeywordsComparative literatureHistorySelection (genetic algorithm)LinguisticsTranslation studiesRest (music)LiteratureSociologyComputer sciencePhilosophyArtArtificial intelligenceMedicine

Abstract

fetched live from OpenAlex

While the importance of the translation process remains recognized as a worthwhile activity in both Literary/Cultural Studies and in fiction, it is frequently overlooked in larger discussions of Canadian literature, including comparative studies. Such activities aim to blur the lines between Us and Them, between Other and Self, or between the Rest of Canada (the Roc) and Quebec, in other words, to align or combine the frequently cited legendary two staircases of Château de Chambord. However, in the process, they have obscured other boundaries, such as those between Comparative Literature and Translation. Studies in Comparative Canadian Literature, for example, frequently overlook, or at least downplay, the importance of translation, neglecting to consider, for example, the translation strategy used and the selection of translated works available for comparison.

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)0.011
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.193
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0150.045
Scholarly communication0.0170.013
Open science0.0020.004
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.106
GPT teacher head0.309
Teacher spread0.202 · 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 designTheoretical or conceptual
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

Citations3
Published2010
Admission routes3
Has abstractyes

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