La poétique du montage comme singulier sentir-penser. Bruissements du lyrisme critique dans En regardant le sang des bêtes (2017) de Muriel Pic1
Bibliographic record
Abstract
Cet article se penche sur En regardant le sang des bêtes de Muriel Pic, court essai paru en 2017 qui, comme son titre l’indique ouvertement, est composé à partir du visionnage du court-métrage Le Sang des bêtes de Georges Franju. Totalement imprégné par la question du mourir, il déploie une forme d’écriture lyrique qui repose en grande partie sur le dispositif de montage qui lui est central. On voit ainsi comment il est construit selon une logique du soubresaut. De plus, y est mis en avant la manière dont l’écrivaine-chercheuse active un fil de mémoire sémantique à partir d’une production culturelle antérieure, en ne cessant de jouer de divers décalages et déplacements. On souligne et analyse en outre comment cette œuvre hybride et délinéaire, tout entière articulée autour de la question de l’irregardable, permet non seulement de prendre de revers l’insupportable mais aussi de mettre en mouvement le cadre qu’elle investit à travers une investigation multidimensionnelle qui vient stimuler un singulier sentir-penser.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".