Mémoire, vérité et archive dans La petite danseuse de quatorze ans de Camille Laurens
Bibliographic record
Abstract
Cet article étudie la représentation de la mémoire, de la vérité et de l’archive dans La petite danseuse de quatorze ans (2017) de Camille Laurens, qui retrace la vie d’une adolescente à la fois inconnue et extrêmement célèbre, Marie Van Goethem, qui fut le modèle de Degas pour sa sculpture éponyme. L’oeuvre de Laurens, qui oscille entre l’essai et le récit biographique, contient une grande portée véritative et offre une exploration complexe de la mémoire. La mise en valeur de l’archive permet à Laurens de plonger dans ses propres souvenirs et d’interroger sa mémoire familiale afin de doter Marie Van Goethem d’un passé. À partir de la notion de « travail de mémoire » de Paul Ricoeur (La mémoire, l’histoire, l’oubli), cet article montre comment la démarche esth/éthique (Paul Audi, Créer) de Laurens se traduit notamment par un renversement de la perspective du rapport de l’artiste à son modèle, et par une valorisation du modèle qui redéfinit le rôle de la sculpture de Degas dans l’histoire de l’art.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".