Literatura em imagens: confluências entre as artes na prosa de Dany Laferrière
Bibliographic record
Abstract
The current paper aims at analysing the Roman Dessiné in the work Autoportrait de Paris avec Chat (2018) by Dany Laferrière, in view of the images present in the aforementioned narrative. This fictional production, published in 2018, is the first example of the new genre created by the Immortel de L’Académie Française author. At first glance, the audience might confuse the book for a children’s sketchbook. However, the narrative is more than that. We find three main characters in it: a famous writer about to receive the immortality distinction for his books, the city of Paris, and the Cat, with a burlesque profile in a Dandy style, who knows every cultural corner of the world’s most visited French capital. Thus, we are immersed in a museum of images and words, in which a personal Paris emerges, populated by the most famous artists from different aesthetic fields and from different periods. Dany Laferrière’s Roman Dessiné reminds us of several avant-garde compositions, whether in image or in writing. Considering these characteristics of the composition, we work with the hypothesis that the Roman Dessiné is a result of the dialogues between literature and image, which took place both during the 20th Century, and in the internal circuit of the set of Dany Laferrière’s works. We believe that the author preserves a poetic and aesthetic tradition, albeit, at the same time, implements innovations as he explores the levels of pictoriality (LOUVEL, 2016a; LOUVEL, 2016b) in his works. For us, Autoportrait de Paris avec Chat might be considered an aesthetic landmark in which we see the emergence, for the first time, of an imagery concretism in the novel. Our preliminary results confirm that, through parodistic drawings and caricatures, the Haitian-Québécois author illustrated the references that constantly appear in his other productions, presenting, this time with his own hand, the painters and the works that marked his route in some way.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".