Bibliographic record
Abstract
The monograph contains the results of the author's research on the European Union's (EU) policy regarding the "Jewish question", as well as the characteristics of contemporary Jewish communities in Europe. It analyzes current issues related to the development and implementation of the EU Strategy on combating antisemitism and fostering Jewish life (2021–2030). It is argued that the development of new legislation to combat antisemitism, based on the definition of antisemitism proposed by the International Holocaust Remembrance Alliance (IHRA), as well as the implementation of effective measures to support the development of Jewish life (the term "Jewish life" refers to the development of the traditional way of life of the Jews), are important tasks not only for the EU but for the entire civilized world. European efforts in these areas can serve as a benchmark and model for the United States, Canada, and other countries where such practices are just beginning to be established. The author also analyzes the challenges of combating antisemitism in the EU and the reasons for the increasing emigration of Jews from the European continent. The monograph is intended for political scientists, historians, civil servants from EU countries and EU candidate countries, students of humanities, and all those interested in Jewish Studies.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".