Entre le désert et la mer : L’Interdite (1993) et N’Zid (2001) de Malika Mokeddem
Bibliographic record
Abstract
Nomade sans tribu, l’Algérienne Malika Mokeddem est une des écrivaines les plus intéressantes du panorama maghrébin contemporain. Toute la production littéraire de la plume francophone est caractérisée par la présence de deux images récurrentes : le désert et la mer. Berceaux maternels ou gouffres de douleur, les sables désertiques et les vagues méditerranéennes accompagnent les quêtes identitaires de Sultana, la narratrice de L’Interdite, et de Nora, l’héroïne du roman N’Zid. Emblèmes territoriaux d’une Algérie martyrisée et schizophrénique, le désert et le Mare Nostrum aident les personnages de Mokeddem à récupérer les racines idéologiques ensevelies, à reconstruire un passé mutilé qui risque de désarticuler l’avenir. Gardien silencieux ou deus ex machina redoutable, le paysage du Sud de la Méditerranée alimente donc l’imagination de Mokeddem : la beauté du désert et l’immensité de l’espace marin exhortent l’intellectuelle algérienne à se forger une identité hybride au confluent de ses appartenances multiples.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".