sujet asymptotique et la filiation dans certains écrits d'Abdelkébir Khatibi
Bibliographic record
Abstract
Cette étude propose une réflexion sur la figure asymptotique du sujet marginalisé dans certains écrits du romancier et essayiste marocain Abdelkébir Khatibi. Chez l’auteur de La mémoire tatouée, du Livre du sang et d’Amour bilingue, l’écriture témoigne d’une profonde rupture avec la famille et la brutalité de l’enfance. La question de la langue maternelle s’y pose de façon singulièrement marquée, faisant ressortir d’anciennes hiérarchies, et provoque chez l’écrivain une vision lyrique de l’origine perdue. La langue première est marquée par la substitution et l’absence. L’objectif de l’article est d’étudier ce qui, chez Khatibi, détermine ce deuil de l’origine et propulse l’œuvre dans une quête initiatique visant à légitimer la filiation rompue. Abstract This study offers a reflection on the asymptotic figure of the marginalized subject in certain writings of the Moroccan novelist and essayist Abdelkébir Khatibi. For the author of La mémoire tatouée, Le livre du sang, and Amour bilingue, literature testifies to a deep rupture with family and the brutality of childhood. The question of the mother tongue arises in a singularly marked way, bringing out old hierarchies, and provoking in the writer a lyrical vision of a lost origin. The first language is marked by substitution and absence. This article aims to uncover what determines, in Khatibi’s work, this longing for the origin and the attempts at legitimizing the broken filiation.
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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 | 0.002 | 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 | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".