Transformational Fiction: Making Charles Sorel’s <i>L’Histoire comique de Francion</i> English
Bibliographic record
Abstract
Messy, contradictory, unresolved, eighteenth-century English fiction is often read as a stage in the process through which the modern novel, as we recognize it, eventually distinguished itself as a coherent genre. This article focuses on mid-seventeenth- and early eighteenth-century English versions of Charles Sorel’s popular L’Histoire comique de Francion (1633)—an unstable mix of Cervantine anti-romance and grubby picaresque realism—to examine the role translation played in creating a taste for formally incoherent fiction in the period. With its professed value as an exemplary moral tale undermined by its coarse humour and prurient allure, the English Francion proved uniquely appealing to readers. By recognizing this appeal, the article argues that we can newly appreciate how such entertaining incoherence was essential to a concept of fiction distinctive to the English eighteenth century, albeit with transnational origins.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".