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\"Traduzir sem traduzir\": um estudo da \"nãotradução\" de Jacques Brault

2023· dissertation· pt· W4391337930 on OpenAlexaboutno aff
Débora Toledo de Castro

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNeologismOriginalityPoetryRewritingReading (process)HegemonyPhilosophyHumanitiesSociologyLiteratureLinguisticsArtPoliticsAnthropologyComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

AGRADECIMENTOSAo João, por ter sido o primeiro a acreditar nesta pesquisa.À Dayane, conforto e firmeza do meu ori, bússola do afeto que conduz à casa (um teto todo).À minha mãe, que me ensinou a andar três vezes: por sua causa, chego nesta encruzilhada; por sua causa, sigo em frente.Ao Isaque, por socorrer-me na primeira hora, e aos camaradas e afetos sustentando minha caminhada.Aos queridos colegas do grupo de estudos "Poéticas do (Re)Traduzir" e aos professores da banca avaliadora.À Professora Doutora Adriana Zavaglia, por ter me iniciado na tradução e na pesquisa, e me chamado a compreender e afirmar meus próprios limites e potencialidades sem medo.Ao Professor Doutor Álvaro Silveira Faleiros, por guiar-me pelas sendas de Jacques Brault.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0350.027
Scholarly communication0.0130.006
Open science0.0020.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.055
GPT teacher head0.322
Teacher spread0.267 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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