Daniel J. Walkowitz, <i>The Remembered and Forgotten Jewish World: Jewish Heritage in Europe and the United States</i>. New Brunswick: Rutgers University Press, 2018. xv + 281 pp.
Bibliographic record
Abstract
Abstract This chapter explores Daniel J. Walkowitz's The Remembered and Forgotten Jewish World: Jewish Heritage in Europe and the United States (2018). This book is in part a family history with a pronounced political twist, and in part a travel narrative intended to reflect upon the author's family's journey from Russia–Poland through Western Europe and then to the United States. It is, in addition, a reflection on heritage installations in major sites of Jewish settlement where the Jewish presence has often disappeared either through emigration, genocide, or social mobility and dispersion. To some degree, Walkowitz's project simply reviews intellectual terrain well combed by others. But throughout the book, Walkowitz brings a persistent and unique critical gaze eschewing the nostalgic sentiments of so much Jewish heritage tourism, along with the false lachrymosity that laments abandoned synagogues or the absence of observant Jews, or the persistent focus on famous men and the well-to-do at the expense of ordinary Jews.
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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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".