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Record W4416675627 · doi:10.1177/00084298251386452

La Septante en tant que lieu de contact linguistique : quelques réflexions concernant la production et l’interprétation de traductions anciennes

2025· article· en· W4416675627 on OpenAlexvenueno aff
Jean Maurais

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Language contactInterpretation (philosophy)Reading (process)ParallelsHebrewNeuroscience of multilingualismSemitic languages

Abstract

fetched live from OpenAlex

According to recent research in translation studies and contact linguistics, written translation constitutes a form of language contact analogous to spoken bilingualism. In a multilingual society, both situations often draw on the same types of constraints and cognitive processes. Consequently, translations such as those found in the Septuagint represent a site of language contact in which the influence of one language on another can rarely be avoided. Contact linguistics can therefore shed light on certain aspects of the debate concerning the influence of Hebrew on the Greek of the Septuagint. To this end, this study examines: 1) the types of linguistic influence typically found in bilingual productions and their parallels in the Septuagint; 2) the consequences of this influence on questions of linguistic register and literary genre; and, 3) the interpretation of linguistic innovations produced under the influence of the source language. In this context, questions arise as to how these linguistic innovations would have been understood, and by whom, as well as the problem of translating the Greek text into modern languages: should these expressions be rendered according to the conventional meaning of each of their Greek components, or according to the (new?) meaning they may acquire in context? That some ancient authors document such interpretive challenges in their reading of the Septuagint—challenges that are sometimes mitigated when these readers are proficient in a Semitic language—suggests that bilingualism is not only a factor in the production of these texts, but also in their interpretation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.457
Teacher spread0.417 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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