Agnon's Conversation with Jeremiah in<i>A Guest for the Night</i>:<i>‘Aginut</i>in an Age of National Modernization
Bibliographic record
Abstract
ApproachingA Guest for the Nightfrom the point of view of the Book of Jeremiah––from which this novel draws its title––leads us to revisit two central components of Agnon's theology and stylized identity. First, his majestic evocation of a deity (Jeremiah's “guest”) who abandoned his “wife” (the people of Israel); and concomitantly, Agnon's lifelong preoccupation with the “‘agunahproblem” as a metaphor for national rupture, in ways that for Agnon were linked to his vocational identity as a modern writer dedicated to the project of national repair. Through his conversation with the Book of Jeremiah and the Book of Lamentations traditionally attributed to this prophet, Agnon adjusts and reduces the diasporic weight assigned to the‘agunahmetaphor. In his midlife masterpiece, he enlists the midrashic concept of‘aginutto explore, among other things, his own composite identity as a traditional Jew and modern Jerusalemite, lover of texts and absent-minded husband.
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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 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".