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Record W2088860523 · doi:10.7202/037394ar

Zionist Ideology and the Translation of Hebrew

2007· article· en· W2088860523 on OpenAlexvenueno aff
Jeffrey M. Green

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyHebrewZionismAssertionLinguisticsPopulationExpression (computer science)SociologyHistoryPhilosophyPolitical sciencePalestineLawPoliticsComputer scienceDemographyAncient history

Abstract

fetched live from OpenAlex

Zionist Ideology and the Translation of Hebrew — Thelanguage used by the author of a text may be of ideological significance, and this is a feature that may be lost in translation. As with many languages associated with relatively small, emergent nationalities, the choice to write in modern Hebrew may be related to a nationalist ideology, in this case, Zionism. This article maintains that the creation of Hebrew is similar to the creation of other minority languages, whose use is restricted to a relatively small population of native speakers, as opposed to world languages, widely known and used by people of many countries. The development and use of a minority language is an expression of self-assertion that entails a degree of isolation. This article examines a novel by a contemporary Israeli novelist, Aharon Megged, and explores the ideological significance of its being written in Hebrew as a literary feature of the novel. It notes the aspects of that ideological significance that would be lost in translation and suggests that translators should be aware of this issue.

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.332
Teacher spread0.262 · 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
Published2007
Admission routes1
Has abstractyes

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