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Record W4408006054 · doi:10.1080/13501674.2024.2340146

Jewish Economic Life in Yiddish Literature: Yitskhok Ber Levinzon and Yisroel Aksenfeld

2023· article· en· W4408006054 on OpenAlexaff
Yankev Leshchinsky, Robert J. Brym, Eli Jany

Bibliographic record

VenueEast European Jewish Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsYiddishJudaismHistoryJewish literatureReligious studiesArtPhilosophyJewish studiesArchaeology

Abstract

fetched live from OpenAlex

Yankev Leshchinsky’s booklet on Yitskhok Ber Levinzon and Yisroel Aksenfeld, two figures from the pre-classical period of Yiddish literature, focuses not on the literary quality of their work but on what their work reveals about early nineteenth century Jewish economic life and social relations in Eastern Europe generally and Ukraine specifically. After providing an overview of how changing class structures have influenced the Jewish mentality, Leshchinsky offers a periodization of Yiddish literature in which he associates literary periods with different levels of economic development. He then summarizes what key works by Levinzon and Aksenfeld tell us about Jewish economic life and social relations in the 1820s and 1830s. Leshchinsky supplements his discussion with excerpts from the works he discusses. An Introduction by one of the translators precedes the booklet, introducing the reader to Leshchinsky, Levinzon, Aksenfeld, and the booklet itself.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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
Published2023
Admission routes1
Has abstractyes

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