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‘Yellow Bar Mitzvah’: Mobilisations of Gangsta Rap as Futures Oriented, Agential Jewish Heritage in Germany

2025· article· en· W4416901980 on OpenAlexaff
Miranda Crowdus

Bibliographic record

VenueEthnoscripts · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsConcordia University
FundersDeutsche Forschungsgemeinschaft
KeywordsJudaismThe HolocaustJewish cultureCultural heritageGermanJewish music

Abstract

fetched live from OpenAlex

State-approved and -funded Jewish cultural heritage has largely focused on concrete tangible spaces or structures, such as synagogues and mikvaot (ritual baths), and material objects. They often represent and evoke an idealised, unchanging Jewishness of the past that is presumed to be acceptable to non-Jewish audiences, yet one that bears little resemblance to lived Judaism, whether past or present. Using hip-hop by Jewish subjects in Germany as a case study, with a special focus on rapper Dimitri Chpakov, this article investigates the mobilisation of popular culture in the twenty-first century by diverse Jewish subjects under the radar of state-sanctioned conceptualisations and representations. Past studies have examined Jewish hip-hop in Germany within the authorised heritage discourse around Holocaust commemoration and anti-Semitism. This article argues that Jewish hip-hop initiatives need to be explored as alternative statements of Jewish heritage, Jewish communal identity, and Jewish diversity, geared towards young living Jewish community members. Such functions tend to be ignored or misunderstood in top-down discourses perpetuated in the public sphere. This article examines the extent to which present-day German Jewish hip-hop prompts a counter-heritagisation process: by creating compelling, deeply personal, and imitable musical forms, it reimagines and reforms conventional definitions of heritage in the service of young Jews living in Germany.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.432
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.318
Teacher spread0.303 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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