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Record W2001756500 · doi:10.5195/ahea.2012.76

Jewish Name Magyarization in Hungary

2012· article· en· W2001756500 on OpenAlexfundno aff
Tamás Farkas

Bibliographic record

VenueHungarian Cultural Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsnot available
FundersEötvös Loránd TudományegyetemYork UniversityHelsingin Yliopisto
KeywordsJudaismEthnic groupAssimilation (phonology)IdeologySociologyPhenomenonContext (archaeology)ImmigrationHistorySign (mathematics)Cultural assimilationGenealogyAnthropologyPoliticsLawPolitical scienceLinguisticsEpistemologyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This article presents the surname changes of the Jews as formal acts which served as a means of assimilation, and which resulted in a characteristic phenomenon of the history of Jewish communities as well as of the surrounding society of the majority. Surname changes as the sign of forming cultural and national identities were used for an individual crossing of a conceptual borderline between ‘they’ and ‘us’ in nineteenth- and twentieth-century Hungarian society. The paper is based on research in different fields of scholarly studies, applying multi- and interdisciplinary standpoints. It focuses on the Name Magyarization process, but also makes comparisons with the name changes of the Jews in other countries. It applies different sources to investigate the social, historical, cultural and ideological background, context and the characteristics of the nominal assimilation of the Jews. It analyzes their names as ethnic symbols, and presents the reasons that made the surname changes so typical for them. It presents the assimilation process of Jewish persons and their personal names in general, and the history of their surname changes in Hungary. The characteristic features of the surnames chosen and their typical motivations are also analyzed, in comparison with those of the non-Jews in the country.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

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 studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.079
GPT teacher head0.361
Teacher spread0.282 · 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 designObservational
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

Citations12
Published2012
Admission routes1
Has abstractyes

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