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Record W2317628841 · doi:10.1080/14725886.2015.1133178

Voice of responsibility: Dahlia Ravikovitch's ‘<i>Egla</i>‘<i>Arufa</i>(Felled Heifer)

2016· article· en· W2317628841 on OpenAlex
Laura Wiseman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Modern Jewish Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsYork University
Fundersnot available
KeywordsDahliaPoetryPortraitLiteratureReading (process)JudaismHebrewPostmodernismArtHistorySociologyLinguisticsVisual artsPhilosophyTheology

Abstract

fetched live from OpenAlex

In a cycle of poems, Sugeyot beyahadut bat zemanenu, “Issues in Contemporary Judaism,” Dahlia Ravikovitch protests against human suffering and fatalities that occur during war and conflicts of attrition involving Israel's indigenous peoples and contiguous populations. Among the poetry, ‘Egla ‘arufa, with its cryptic title and densely encoded contents, requires textual “demystification” for its central message to be heard. First, this article identifies the most crucial pair of Hebrew sources underlying this poem and discusses their intertextual influence and the transition between them for an enriched reading. Second, through textual analysis this study applies a postmodern literary poetic – a “hermeneutic lag” – to a unique dynamic in the dimensions of the writing. In general, I relate to selected poems by Dahlia Ravikovitch as self-portraits, and regard “Felled Heifer” as an abstract figuration of the voice of the speaker: the voice of responsibility.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.057
GPT teacher head0.335
Teacher spread0.278 · 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