From language to literature: The fictionalization of the book in Patrick Chamoiseau’s novels
Bibliographic record
Abstract
If Patrick Chamoiseau’s work on the issue of language has been amply studied, this article intends to shed new light on it through an analysis of its relation to the printed book, as represented in the Martinician writer’s novel. The purpose of this article is not only to offer a more developed approach of the contrast between oral and written, which takes into account the role played by print, but also to study the ways in which Chamoiseau creates, through the fictionalized book, his own ‘linguistic mythology’. According to Chamoiseau, this is the ultimate goal of literature as it participates in the renewal of linguistic codes. The writer’s political posture, which seeks to determine which approach is more legitimate, the oral language or the written, Creole or French, is replaced with an aesthetic posture focused on the contribution of Chamoiseau’s personal writing style to francophone literature.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".