Écriture romanesque et traces documentaires dans Où j’ai laissé mon âme de Jérôme Ferrari
Bibliographic record
Abstract
Nous interrogeons dans le cadre de cette étude le rapport Histoire/mémoire/écriture dans le roman de Jérôme Ferrari Où j’ai laissé mon âme. Ce n’est pas la mémoire d’un point de vue historiographique qui nous intéresse, mais la mémoire « littéraire » de la Guerre de libération nationale, dite « Guerre d’Algérie », telle qu’elle est traitée dans ce roman. Nous analysons la manière dont la mémoire nourrit le texte littéraire par le biais de la source écrite : « le document » sur lequel s’appuient aujourd’hui les romanciers, pour informer, argumenter, ouvrir le champ de l’expression littéraire. Notre objectif est d’interroger le fonctionnement du document historique comme trace du passé et les enjeux de son intégration dans l’écriture romanesque qui fait un usage particulier du document historique et des citations qui sont la substance de l’écriture (ré-écriture) littéraire de l’Histoire.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".