MétaCan
Menu
Back to cohort
Record W7133092752

Translation and Postnational Cartographies of Language in Twenty-First-Century Canadian Literatures

2021· dissertation· W7133092752 on OpenAlexaboutno aff
Arianne Des Rochers

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPremiseMeaning (existential)Translation studiesNaturalizationLinguistic landscapeTheoretical linguistics
DOInot available

Abstract

fetched live from OpenAlex

“Une opération de traduction ne peut être effectuée que s’il y a une frontière à franchir,” says Sherry Simon in Le trafic des langues. The border that translation is said to cross is, typically, linguistic: the dominant understanding and theorization of translation relies on the notion of linguistic difference and autonomy, whereby meaning is transferred from one bounded linguistic system to the other. This dissertation takes as its starting point the border between languages, recognizing that linguistic borders as we know them today are neither natural nor ontological, but the result of the sedimentation and naturalization of a specific kind of linguistic mapping along discriminatory (ethno)national and racial lines. Its premise is that the gesture of translation, rather than simply crossing a pre-existing linguistic border, constructs linguistic difference by drawing a border where there is not one in the first place. The writers that make up my corpus— Gregory Scofield, France Daigle, Kevin Lambert, Joshua Whitehead, Nathanaël, Oana Avasilichioaei, Maude Veilleux and Nicholas Dawson—reveal the work of linguistic differentiation (and, consequently, of translation) as normative, hierarchical, and violent, inasmuch as it imposes a linguistic order on texts that explicitly refuse to conform to that order. This dissertation problematizes the structural view of language that underlies the bulk of Western translation practice and theory by looking at the anticolonial, queer, and postnational linguistic cartographies that are drawn and imagined in contemporary literary works published in Canada between 2005 and 2020, and written by voices that are minoritized within Canada’s linguistic regime. These texts are written in what we are used to recognizing as several “languages,” “registers” or “dialects,” in other words they feature linguistic forms that overflow the containers of French and English, the two official, colonial languages of the Canadian state. I argue that, on the part of these writers, this amounts to a refusal to be a good, monolingually intelligible national subject, and that it is crucial for translation to reenact that refusal. Indeed, because these texts ask us to approach, read and translate them without following the lines drawn on colonial and national linguistic maps, they point to what I call a postlingual understanding of translation, which enables a move away from idealized, abstract, national languages and towards the specificity of linguistic practices, understood as fundamentally social and local. Taking cues from the literary works under study, my analysis calls for a focus on the singularity of the relation both between the translator and the text she is translating and between the translator and the linguistic, communicative and expressive resources that are socially meaningful in her own surroundings. Framed as a series of relations, rather than as transposition from one system to another, translation becomes a decidedly localized practice that draws on the translator’s specific embodied and territorialized experience and on the subjective, deliberate and ethical relations she establishes in the process.

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.161
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.014
Science and technology studies0.0300.037
Scholarly communication0.0120.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueTSpaceSame topicShort Stories in Global LiteratureFrench-language works237,207