Bibliographic record
Abstract
Der Proceß in Yiddish, or the Importance of being Humorous — The article argues for a "humorous" Franz Kafka rather than a kajkaesque one and criticizes the "Kafka myth" which cristallized after WWII and emphasized foremost Kafka's existential anguish. Even before the war Max Brod as well as Walter Benjamin recognized the humorous dimension in Kafka's texts, much of which lies in word plays and gesture; otherwise, the humour in Kafka was largely ignored, especially after WWII. The focus in this article is on English, German and Yiddish cultural contexts and ideologies which have determined different readings/ translations of Kafka's texts. In particular, the article compares the pre-war English translation of Der Proceß by Edwin and Willa Muir, which contributes to the "Kafka myth," with a post-war Yiddish translation by Melech Ravitch, which highlights the novel's humorous qualities. Not only does the Yiddish translation place Kafka's novel within a culturally specific literary genre and suggest an alternate "Jewish" reading of the text; by drawing on both the English translation and the German original, Ravitch also "corrects" the anguish laden "Kafka myth" and constitutes a challenge to the rather humourless genre of the kafkaesque so widespread still in contemporary English and German speaking cultures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".