Bibliographic record
Abstract
Peut-on rire en lisant Kafka et, si c’est le cas, de quoi rit-on ? Qu’est-ce qui rit en nous alors même que La métamorphose , La colonie pénitentiaire , Le procès ou Le château se sont acquis la réputation de fictions cauchemardesques ? Par réaction contre l’esprit de sérieux qui ramène ses romans à des allégories, certains critiques choisissent de mettre en lumière la force comique de Kafka. On se tromperait cependant en opposant les deux dimensions de l’oeuvre, car l’humour omniprésent n’y est aucunement dissociable de sa portée métaphysique. Le rire de Kafka est, entre autres, le surgeon inattendu — mais radicalement irrévérencieux et hétérodoxe — de la tradition talmudique, de sa conception d’une divinité en quelque sorte à la retraite, déléguant aux hommes l’administration du monde, pour le meilleur et pour le pire (et pour le rire), ou les laissant se dépêtrer dans de vertigineux ergotages exégétiques. C’est sans doute ce que pressentait Walter Benjamin lorsqu’il écrivait à Gershom Scholem : « j’imagine que celui qui verrait les côtés comiques de la théologie juive aurait d’un coup en main la clé de Kafka ».
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".