Bibliographic record
Abstract
Dans Mes mauvaises pensées (2005), Bouraoui explique que nous avons tous “une place à occuper” et “un rôle à jouer” dans la constellation familiale, affirmant que, dans sa famille, elle est le sujet “buvard”, celle qui s’imprègne de tout et des autres, et dont la peau porte la mémoire. L’image de la peau buvard employée par Bouraoui - peau palimpseste où se brouillent les frontières entre vie et mort, présent et passé, le soi et l’Autre - illustre bien le genre de subjectivité à l’œuvre dans Mes mauvaises pensées que le présent article propose d’explorer.Il s’agira d’abord de montrer comment l’auteure-narratrice de Mes mauvaises pensées, en tant que sujet buvard, a pour tâche de relayer l’histoire des membres de sa famille ainsi que celle de ses deux pays d’origine, la France et l’Algérie, puis, de voir l’influence de cette conception de la subjectivité sur l’organisation narrative du texte.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".