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Record W2156418476 · doi:10.1017/s0047404505250066

<scp>Wexler, Paul</scp>. <i>Two-tiered relexification in Yiddish: Jews, Sorbs, Khazars, and the Kiev-Polessian dialect</i>. Trends in Linguistics Studies and Monographs 136. Berlin &amp; New York: Mouton de Gruyter, 2002. 713 pp.

2005· article· en· W2156418476 on OpenAlexaff
Claire Lefebvre

Bibliographic record

VenueLanguage in Society · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHebrewYiddishSlavic languagesLexiconGermanLinguisticsHistorySemitic languagesJudaismPhilosophyArabicArchaeology

Abstract

fetched live from OpenAlex

The thesis advocated by Wexler in this book challenges traditional views of the makeup and genesis of Yiddish and Modern Hebrew. Traditional views assumed that “Yiddish was either a ‘deformation’ or a ‘creative Jewish outgrowth’ of High German, with attrition of Germanisms and acquisition of Slavicisms resulting from prolonged contact with the Slavic languages, while all historical attestations of Hebrew were regarded blindly as instantiations of Classical Semitic Hebrew” (3). Wexler's counter-proposal is twofold: On the one hand, Yiddish is Upper Sorbian relexified (in the 12th century) on the basis of High German phonetic strings, and Kiev-Polessian relexified on the basis of Yiddish and German (15th century); in this view, Yiddish is typologically a Slavic language with a German lexicon. On the other hand, Modern Hebrew is Yiddish relexified on the basis of Classical Hebrew phonetic strings; in this view, Modern Hebrew is typologically Slavic, like Yiddish, with a Classical Hebrew lexicon; hence, it is not genetically related to Old Semitic Hebrew. The aim of the book is to document this twofold proposal.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0030.002
Scholarly communication0.0030.006
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0590.025

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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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 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
Published2005
Admission routes1
Has abstractyes

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