Creating a Historical Narrative for a Spiritual Nation: Simon Dubnow and the Politics of the Jewish Past
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.027 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".