Bibliographic record
Abstract
Samuel Joseph Agnon, Psychoanalysis and Jewish History: A Comparative Study compares the writings of Samuel Joseph Agnon (1887–1970) with other writers, including Gustav Flaubert, Franz Kafka, D.H. Lawrence, and Carl Gustav Jung, as well as his great Hebrew predecessors, Mendele Mocher Sefraim and Chaim Nachman Bialik, who drew on the ancient Jewish biblical and rabbinic tradition in creating a modern secular literature.Through close readings of Agnon’s fiction in comparison with some of his great contemporaries, the reader comes to a new appreciation of the richness and psychological depth of modern Hebrew literary art and its roots in ancient Jewish history and literature; of Agnon as a major figure bridging the traditional culture of the pre-1939 East European Jews with the modern world; of Hebrew fiction amid tumultuous historical change, as its centre shifted in the early 20th century from Eastern Europe to Tel Aviv; and of the centrality of Hebrew literature in the rise of modern Jewish nationalism as anti-Semitism grew. This book is of particular value to students of Hebrew and Comparative Literature and of psychoanalysis and the sociology of literature, but it is written clearly and without jargon and has much interest to the general reader.
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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 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".