Portrait du clown en personnage de roman : A partir de Gavroche (Les misérables), Kenwell et Cox (Le train 17) et les frères Zemganno (Les frères Zemganno)
Bibliographic record
Abstract
Among the various studies written on the voluminous artistic production relating to the clownish figure in the XIXth century, more specifically on its melancholic form in the second half of the century, very few have carried interest to the novel. The objective of this master's thesis is to study the clown as a novel character, through Gavroche (Victor Hugo, Les Miserables ), Kenwell and Cox (Jules Claretie, Le Train 17) and the brothers Zemganno (Edmond de Goncourt, Les Freres Zemganno ). We will focus on the way those hyperbolic figures spread out their marginality, their laughter and their illusions within the novel, thus providing information on this one. Our analysis of the clown's passage through the novel, which always deploys in three phases (the marginal entrance, the ascension and the fall), demonstrates the incompatibility between the realistic material from the XIXth century and this nevertheless infinitely novelistic being.
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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 | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".