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Record W2611019442 · doi:10.33776/candb.v4i1.3014

From "Sisters" to "Comadres": Translating and Transculturating Tomson Highway's The Rez Sisters

2014· article· en· W2611019442 on OpenAlexaboutno aff
Pilar Somacarrera Íñigo

Bibliographic record

VenueCanada and Beyond A Journal of Canadian Literary and Cultural Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsHistoryTransculturationLiteraturePsychologySociologyArtAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

Since theNative Canadian playwright Tomson Highway imagines his plays in Cree beforetranslating them into English, his dramatic texts are, in the words of Gayatri Spivak, “a history of the languagein-and-as-translation. “ As he acknowledges, Highway’s English is permeatedwith the rhythm of the Cree language: “I am actually using English filteredthrough the mind, the tongue and the body of a person who is speaking inCree” Highway’s text introduces Cree orOjibway words and phrases, providing English translations for them infootnotes. The other characteristic which makes Highway’s plays distinct istheir sexual content, as transmitted both in the spoken text and in the stagedirections. Highway explains in an article titled “Why Cree is the Sexiest ofAll Languages,” that talking about sex in English is a terrifying experience, whereasin Cree it is the funniest, most hysterical and most spectacular thing in theworld.” In addition, visceral and sexual language is an essential component ofthe play, This paper will explore the process of translation andtransculturation involved in the translation of Highway’s play The Rez Sisters, in the light of translationstudies theories and the notion of transculturation as coined by Fernándo Ortizand expanded by Norman Cheadle in his book CanadianCultural Exchanges.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.233
Teacher spread0.200 · 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 teacher head, 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

Citations2
Published2014
Admission routes1
Has abstractyes

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