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Record W7120547497

Jacques Brault Au fond du jardin, accopagnements Commented Translations

2015· dissertation· pt· W7120547497 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Library of Theses and Dissertations (Universidade de São Paulo) · 2015
Typedissertation
Languagept
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Natural (archaeology)Representation (politics)
DOInot available

Abstract

fetched live from OpenAlex

Jacques Brault é um escritor canadense natural de Montréal, ainda pouco conhecido no Brasil e que não possui nenhuma obra traduzida na íntegra para o idioma português. Artista muito versátil e de múltiplas facetas, Brault atuou com romancista, poeta, crítico literário além de ter escrito diversas peças teatrais. Muito engajado social e culturalmente ele é reconhecido como o escritor vivo do Quebec com maior prestígio no meio literário. O objetivo desse trabalho é propor traduções de textos do livro Au fond du jardin accompagnements de Jacques Brault. Esse livro é considerado como um microcosmo do trabalho desse autor e oferece uma panorâmica visão de toda sua obra. Cada uma das traduções possui uma abertura, a tradução com suas respectivas notas e por fim um comentário ao texto traduzido.

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)0.002
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.187
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0360.006

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 head0.021
GPT teacher head0.272
Teacher spread0.251 · 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
Published2015
Admission routes1
Has abstractyes

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