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Record W3209030557 · doi:10.25071/1916-0925.40240

“Smoke Rising Day and Night”: Exploring Chava Rosenfarb’s Implicit Mysticism in "Edgia’s Revenge"

2021· article· fr· W3209030557 on OpenAlexvenueno aff
Jesse Toufexis

Bibliographic record

VenueCanadian Jewish Studies / Études juives canadiennes · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtThe HolocaustEthnologyPhilosophyHistoryTheology

Abstract

fetched live from OpenAlex

The central preoccupation of Chava Rosenfarb’s “Edgia’s Revenge” is an escape from a perceived outward Jewishness. That Rosenfarb’s protagonist is never afforded this vital flight is one of the story’s key dramas that plays out in the form of a power dynamic between two Holocaust survivors, Rella and Edgia. On the surface, this failure can be attributed to Rella’s anxiety and guilt about her former role as a kapo in a concentration camp. This article argues, however, that Rella’s failure to rid herself of her Jewishness and her past is exemplified through the use of mountains as sacred zones in “Edgia’s Revenge.”La préoccupation centrale de « Edgia’s Revenge » de Chava Rosenfarb est d’échapper à une judéité perçue comme extérieure. Le fait que le protagoniste de Rosenfarb ne puisse jamais s’offrir ce vol vital est l’un des principaux drames de l’histoire qui se joue sous la forme d’une dynamique de pouvoir entre deux survivants de l’Holocauste, Rella et Edgia. À première vue, cet échec peut être attribué à l’anxiété et à la culpabilité de Rella concernant son ancien rôle de kapo dans un camp de concentration. Cet article soutient cependant que l’échec de Rella à se débarrasser de sa judéité et de son passé est illustré par l’utilisation des montagnes comme zones sacrées dans « Edgia’s Revenge ».

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)0.002
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 score0.992
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.020
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.073
GPT teacher head0.285
Teacher spread0.213 · 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
Published2021
Admission routes1
Has abstractyes

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