Bibliographic record
Abstract
This book explores the life and poetry of Chaim Nachman Bialik (1873–1934) in the context of European national literature between the French Revolution and World War I, showing how he helped create a modern Hebrew national culture, spurring the revival of Hebrew as a spoken language. The author begins with Bialik’s background in the Tsarist Empire, contextualizing Jewish powerlessness in Eastern Europe in the late nineteenth century. As European anti-Semitism grew, Bialik emerged at the vanguard of a modern Hebrew national movement, building on ancient biblical and rabbinic tradition and speaking to Jewish concerns in neo-prophetic poems, love poems, poems for children, and folk poems. This book makes accessible a broad but representative selection of Bialik’s poetry in translation. Alongside this, a variety of national poets are considered from across Europe, including Solomos in Greece, Mickiewicz in Poland, Shevchenko in Ukraine, Njegoš in Serbia, Petőfi in Hungary, and Yeats in Ireland. Aberbach argues that Bialik as Jewish national poet cannot be understood except in the dual context of ancient Jewish nationalism and modern European nationalism, both political and cultural. Written in clear and accessible prose, this book will interest those studying modern European nationalism, Hebrew literature, Jewish history, and anti-Semitism.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".