MétaCan
Menu
Back to cohort
Record W2168216853 · doi:10.7202/037280ar

Writing Between Cultures

2007· article· en· W2168216853 on OpenAlexvenueaboutno aff
Barbara Godard

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionTrope (literature)LinguisticsRewritingErasureTranslation studiesRepetition (rhetorical device)TransculturationHistoryLiteratureSociologyPhilosophyArtComputer scienceAnthropologyProgramming language

Abstract

fetched live from OpenAlex

Writing Between Cultures — This essay examines the traffic in languages or systematic interferences, the tropes of translation whereby the network of the Canadian literary system is produced. It focuses on two moments in that process, one whereby Canadian literatures are produced as Europe's other by vertical translation of Canadian concepts into classical languages and an erasure of horizontal translation among Amerindian languages as manifest in the writing of colonization, especially in the work of Marie de l'Incarnation. The second is the contemporary period where the theatre of cultures of Amerindian playwrights, Daniel David Moses in particular, restages the trope of non-translation to expose therein the rhetorical violence of imperialism and offers in its place a model of horizontal translation between Amerindian languages. Performance as repetition with a difference or rewriting is another mode of translation, characterized by a theory of language as event not as mimesis.

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)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.722
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0250.024
Scholarly communication0.0200.007
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.003

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 head0.060
GPT teacher head0.337
Teacher spread0.277 · 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

Citations11
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueTTR traduction terminologie rédactionSame topicCanadian Identity and HistoryFrench-language works237,207