A Poetics of Confusion: Casanova’s <i>Histoire de ma vie</i> as Bildungsroman
Bibliographic record
Abstract
Casanova warns readers in the preface of the Histoire de ma vie: “I do not write a novel or the story of an illustrious person.” Casanova refuses to character ize the written story of his life as novel or memoir, and he borrows from the poetics of these two genres, which are situated at opposite ends of the social spectrum. Following the ups and downs of its author’s chequered career, the Histoire de ma vie embodies a poetics of confusion and merges competing literary models. One of these models is the Bildungsroman or “roman de formation” illustrated in ancien régime France by such works as Prévost’s Manon Lescaut (1731), Marivaux’s Le Paysan parvenu (1734), and Voltaire’s L’Ingénu (1767). Studying Casanova’s account of his two Parisian sojourns of 1750–52 and 1757–59, which he describes as “mes années d’apprentissage,” this article investigates the author’s borrowing and eventual undermining of Bildungsroman poetics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".