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Record W2811086829

After Twenty Years: On the Place of “Women in Judaism” in Feminist Reading of Modern Hebrew Literature

2017· article· en· W2811086829 on OpenAlexvenueno aff
Shai Rudin

Bibliographic record

VenueWomen in Judaism A Multidisciplinary e-Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHebrewJewish literatureReading (process)LiteratureAntithesisJudaismNarrativeClose readingLiterary criticismHebrew BiblePoetryMythologyGender studiesHistorySociologyJewish studiesArtLinguisticsBiblical studiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Feminist reading of literary texts was introduced at the end of the 1970s. Over the last twenty years, feminist methods of literary criticism have gradually entered the sphere of Modern Hebrew literature, radically changing the way in which Hebrew texts are viewed by both women and men. This article offers a comprehensive model that pertains to four thematic categories, derived from studies published in the Women in Judaism journal over the last twenty years. These are the categories:Feminist reading of women writers’ works, examining representations of women, gender conflicts, relationships between sexes;Presenting theoretical / poetic models based on readings of Modern Hebrew literature;Suggestions of feminist reading of works written by men authors;Deconstructive reading of misogynist myths.As seen through the presented model, these categories may be supplemented with additional research categories, such as comparative studies of Hebrew and non-Hebrew women writers; examining poetic Anglo-Saxon impact upon currently written Hebrew Women Literature; and thematic studies of various fields (violence, education, art, politics) addressed by women who present an antithesis to male narratives.

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)0.003
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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.019
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.002
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 head0.022
GPT teacher head0.306
Teacher spread0.283 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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