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Record W7161788500 · doi:10.82308/54427

Traduction de «Las malas juntas» de J.L. Urbina, suivi de la littérature latino-canadienne en traduction: zones de contact, zones de tension

2013· dissertation· fr· W7161788500 on OpenAlexaboutno aff
Julie Turcotte

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsWest indiesProspectionDialectologyMartinique

Abstract

fetched live from OpenAlex

La première partie de ce mémoire consiste en une traduction de l'espagnol au français d'environ la moitié des textes du recueil de nouvelles Las malas juntas, de l'écrivain chileno-canadien José Leandro Urbina. Cette œuvre importante d'un auteur renommé au Chili mais peu connu au Canada, parue pour la première fois en 1978 à Ottawa, n'avait jamais été traduite en français.La seconde partie du mémoire adopte une approche postcoloniale pour examiner dans un premier temps le rôle et la place de la traduction dans la production et la diffusion d'une littérature en espagnol au Québec et au Canada, et la façon dont cette littérature bouscule certains présupposés des théories traditionnelles de la traduction. Dans un deuxième temps, l'insertion problématique des œuvres latino-québécoise dans le corpus littéraire du Québec est examinée sous l'angle des défis que posent ces œuvres en traduction pour la définition des frontières de la littérature québécoise contemporaine.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.346
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.008
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.006
GPT teacher head0.205
Teacher spread0.198 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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