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Record W4312818531 · doi:10.7202/1092362ar

Traduire le genre dans Je suis une maudite sauvagesse d’An Antane Kapesh

2022· article· fr· W4312818531 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLes Cahiers Anne Hébert · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal and cultural studies analysis
Canadian institutionsConcordia UniversityUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

En 1976, An Antane Kapesh fait publier en collaboration avec l’anthropologue José Mailhot le livre coup de poing Je suis une maudite sauvagesse – Eukuan nin matshimanitu innu-iskueu aux éditions Leméac. Le texte est alors révolutionnaire dans le monde de l’édition québécoise : c’est la première fois qu’une langue autochtone obtient, avec un écrit contemporain, le statut de « langue littéraire ». Le bilinguisme de l’oeuvre amène à réfléchir à la traduction, ici en particulier par des femmes – Mailhot traduisant Kapesh et, dans une version récente en anglais, Sarah Henzi traduisant le texte français. La question qui anime cet article est l’enjeu que prend le genre (et le colonialisme) dans l’acte traductif d’une langue peu ou pas genré (comme l’innu-aimun) à une langue très genrée. L’objectif n’est pas de comparer les versions pour y déceler des « erreurs » de langue, mais plutôt, pour employer l’expression d’Antoine Berman, de comprendre la « position traductive » des traductrices face à un tel texte.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0070.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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