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Record W4386844190 · doi:10.1093/mj/kjad009

The Leibowitzer Rebbe: Yeshayahu Leibowitz and Hasidism

2023· article· en· W4386844190 on OpenAlexaff
Justin Jaron Lewis

Bibliographic record

VenueModern Judaism - A Journal of Jewish Ideas and Experience · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsScholarshipJudaismPhilosophyAestheticsLiteratureArtTheologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract The controversial Israeli public intellectual Yeshayahu Leibowitz (1903–1994) has jokingly been called “the Leibowitzer Rebbe.” The humor is in the obvious incongruity of associating Leibowitz with anything Hasidic. He was the most rationalist of religious thinkers and said disparaging things about Hasidism and its leaders. Yet Leibowitz and Hasidism are closer than they appear. Building on insights from other scholars, I will show the affinities between Leibowitz and some of the Hasidic masters. Drawing on his writings, interviews, and correspondence, I will demonstrate that Leibowitz read and cited Hasidic books; he engaged with Hasidic teachings, and acknowledged learning from them. I argue that a full understanding of his challenging thinking must take Hasidic sources into account. This paper makes a contribution to scholarship on Leibowitz, one of the most interesting modern Jewish thinkers, and to our understanding of the relationship of Hasidism with modern Judaism as a whole.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.012
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.308
Teacher spread0.277 · 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
GenreOther

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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