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Record W2346319635 · doi:10.1093/mj/kjw007

<i>Shelom ‘Olamim</i>—Eternal Peace by S.Y. Agnon: Yishuv-Era Society on the Brink of Statehood

2016· article· en· W2346319635 on OpenAlexaff
Laura Wiseman

Bibliographic record

VenueModern Judaism - A Journal of Jewish Ideas and Experience · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsYork University
Fundersnot available
KeywordsHebrewLiteratureIronyHubrisHEROFolioInvectiveHistoryPhilosophyLawArtClassicsPolitical science

Abstract

fetched live from OpenAlex

This 1942 satire is set in the period of Israel’s emergent statehood. Agnon delivers a critique of pre-statehood society and leadership at the nadir of drought, wrapped up in self-importance and internal rifts over inconsequential matters while the very existence of the people is threatened from without. While there is room for historical or theoretical examinations of such a story, this article adopts a literary approach for its methodology. It employs textual analysis to highlight a cluster of literary devices including a leitmotif, reverberations of classical Hebrew texts, and exaggerations. Together they animate the scathing satire in this period piece. To deploy the irony in Shelom ‘Olamim –“Eternal Peace” Agnon installs each rhetorical device and echo in an inverted or perceptibly flawed fashion, and magnifies minutiae to hyperbolic proportions. In so doing he crafts a game of nahafokh-hu a topsy-turvy puzzle, making his medium the message. The puzzle and its pieces carry the storyteller’s caustic criticism of the inverted priorities and unwarranted hubris of the leaders of yishuv-era society on the brink of statehood. In contributing a thesis based on textual analysis, an allegorical translation of the ambiguous Hebrew title, and fresh translations of selected excerpts, this article offers English-readers access to the humor and irony embedded in Agnon’s multivalent Hebrew writing and word play.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.014
GPT teacher head0.268
Teacher spread0.253 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2016
Admission routes1
Has abstractyes

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