Literary Plurimateriality and Poetico-political Vibrations in Muriel Pic’s Work
Bibliographic record
Abstract
More and more works testify to the pictorial turn which marks francophone literary production since the end of the twentieth century, “immersed in the world of the modern images and mass media,” as Magali Nachtergael pointed out. The textual and visual regimes are thus no longer inscribed in a logic of competition but arranged in a perspective of co-adjunction, of fertile crossings. From this perspective, we examine Affranchissements (2020) by Muriel Pic; this “wandering-book” is structured in six parts which deploy a nonlinear narrative, brimming with many visual materials and where everything starts from “the magical grimoire of a stamp album” and from a “debt to be paid.” This article analyzes this fundamentally hybrid book which, in a decompartmentalization of semiotic regimes, activates a poetic plurimateriality and makes of the literary space a—political—place of renewal of the real, of a redrawing of the material and symbolic space, as Jacques Rancière would say.
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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 | 0.009 | 0.019 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".