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Record W3163187091 · doi:10.1017/s147054272100012x

Absence of Morphological Case and Gender Marking in Contemporary Hasidic Yiddish Worldwide

2022· article· en· W3163187091 on OpenAlexaboutno aff
Zoë Belk, Lily Kahn, Kriszta Szendröi

Bibliographic record

VenueJournal of Germanic Linguistics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsAttributiveVariety (cybernetics)YiddishLinguisticsGermanic languagesAdjectiveHistoryPsychologyJudaismNounPhilosophyMathematicsGerman

Abstract

fetched live from OpenAlex

This paper demonstrates that the language of the post-War generations of adult Haredi (that is, strictly Orthodox), primarily Hasidic, speakers of Yiddish in the major Hasidic centers worldwide lacks morphological case and gender. Elicited spoken and written data from native Haredi speakers of Yiddish from Israel and the United States, aged 18–87, and limited additional evidence from Canada and Belgium, reveal a complete absence of distinction between masculine, feminine, and neuter genders as well as between the nominative, accusative, and dative cases. While some speakers make use of a variety of morphological definite determiner and attributive adjective forms, their use is not determined by case or gender distinctions. Most of the speakers in our study have an invariable determiner pronounced as /dɛ/ or /di/, whereas the earlier case and gender suffixes on attributive adjectives have been reanalyzed as a single attributive marker, /ɛ/. These findings are consistent with our previous work on the loss of case and gender in the Hasidic Yiddish of London’s Stamford Hill and support our proposal that the Yiddish spoken in (primarily Hasidic) Haredi communities can be considered a distinct variety of the language known as Contemporary Hasidic Yiddish.*

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.668
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.093
GPT teacher head0.350
Teacher spread0.257 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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