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Mary Ann Shadd e a tradução como reescrita no espaço-tempo: analisando o processo tradutório de A Plea for Emigration (1852)

2024· article· pt· W4400233002 on OpenAlexaboutno aff
Hislla Suellen Moreira Ramalho, Alison Silveira Morais, Fabrício Leal Cogo

Bibliographic record

VenueBelas Infiéis · 2024
Typearticle
Languagept
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPleaPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Relying on the concept of Rewriting proposed by Lefevere (1993) and Arrojo’s (1986) studies on translation as palimpsest, this article aims to analyze and reflect on the translation process of the work entitled “A Plea for Emigration”, of the writer and first female black publisher in the United States, Mary Ann Shadd, published originally in 1852 and translated by the authors as “Um Apelo à Emigração”. The exercise of translating a text in English from the 19th century into Brazilian Portuguese in the 21st century was also permeated by Souza’s (2009) concept of reexistence, which gives us support in justifying and characterizing our translation project and the debates surrounding the archaic tone of the work. As a method, we extensively researched in the sociological, historical-geographical and political fields regarding the United States and Canada as well as etymological, semantic, grammatical and hermeneutical research; and finally, more practical examples involving environmental, climatic, and economic conditions in Canada. And as a background, feminist translation theories were put into perspective, such as Castro (2017) and the concept of epistemicide by Carneiro (2005), highlighting the reasons behind the choice and importance of Shadd and her work. The data was obtained by reading the source text, and additional materials such as newspapers of that time, Statutes, and Laws. The results present an ethical translation project that analyzes and adheres to the purpose of a pamphlet of that time. To avoid anachronisms, we kept terms from the past and included footnotes where needed to create an accessible translation.

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)0.004
metaresearch head score (Gemma)0.010
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: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.009
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.003
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 head0.065
GPT teacher head0.320
Teacher spread0.255 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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