Review of Since 1948. Israeli Literature in the Making, By Nancy E. Berg and Naomi B. Sokoloff eds.
Bibliographic record
Abstract
In 2018, Nancy E. Berg and Naomi B. Sokoloff1 convened the symposium “Enshrining the Book: Israeli Literature at 70” at Washington University in St. Louis. The conference represented an opportunity for scholars to reassess “the literary history and trajectories of Israeli culture since the founding of the state in 1948.”2 It is precisely out of this conference that the volume Since 1948. Israeli Literature in the Making, edited by Berg and Sokoloff, arose. Indeed, the cover image—showing the Shrine of the Book in Jerusalem under construction in 1964–65—evokes not only the conference title but also, most significantly, the whole idea of the national literary canon as a “process” rather than a “product” (p. 3) and of Israeli literature as “still very much under construction” (p. 4).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".