Le 'comique qui ne fait pas rire' dans «Bouvard et Pécuchet» de Gustave Flaubert
Bibliographic record
Abstract
The topic of this thesis is a reading of Gustave Flaubert's Bouvard et Pécuchet (1881), through the lenses of the "comic that does not make laugh". The starting point of this thesis is a question: how is it that the comic in Bouvard et Pécuchet, explicitly claimed by the novelist from the very first steps of the project, has confused many critics, as if it were not adequate to the novel? We'll see how this hesitation – is Bouvard and Pécuchet funny or not ? – is inscribed in the novel, which unfolds a space, Chavignolles, ambiguous and indocile, within which any form of the comic is put into perspective, which creates an oscillation between the probable and the improbable, the real and the unreal. Finally, our demonstration will focus on showing how this hesitation is reinforced by a complex relation of distance and proximity, that at once makes the novel a comic one and prevents the characters from seeing the world as utterly comic. We will see that confronted with the impossibility of maintaining the space aside to isolate what is meant to be funny from what is real, the comic is not exactly evacuated from the novel sphere, but stays out of sight.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".