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Record W2009392036 · doi:10.7202/1008979ar

Creating a Historical Narrative for a Spiritual Nation: Simon Dubnow and the Politics of the Jewish Past

2012· article· en· W2009392036 on OpenAlexvenueno aff
Roni Gechtman

Bibliographic record

VenueJournal of the Canadian Historical Association · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismJudaismPoliticsIdeologyIndependence (probability theory)DiasporaIntellectual historyNarrativeHistorySociologyRelation (database)Jewish historyJewish studiesReligious studiesLawLiteratureGender studiesPolitical sciencePhilosophyArtEconomic historyArchaeology

Abstract

fetched live from OpenAlex

Simon Dubnow (1860–1941) was a towering intellectual figure in the history of East European Jewry in the half-century before the Second World War. His influence was manifested mostly in two areas: as the preeminent Jewish historian of his generation and as the main theorist of Jewish diaspora nationalism (Folkism) and intellectual leader of the Folkspartey in Russia (1907-1917). This article examines the relation between the two aspects of Dubnow’s career and legacy. As a historian, Dubnow developed a method for the study of Jewish history he called ‘historism’. Politically, Dubnow was an atypical nationalist, in that he did not demand territorial independence for his people but only the recognition of Jews as a nation with autonomous status within the states where they already lived. I show how Dubnow’s Jewish nationalism and his political views derived, to a large extent, from his historical theory and analysis, and in turn, how his historical interpretations were often informed by his ideological preconceptions. By analyzing and juxtaposing his historical and theoretical works, I argue that the writing of history was for Dubnow a means to achieve his more ambitious goal: to change the future of Jewish society and, by extension, the countries where the Jews lived.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score1.000

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 studies0.0020.000
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 head0.027
GPT teacher head0.251
Teacher spread0.224 · 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.

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
Published2012
Admission routes1
Has abstractyes

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