Bibliographic record
Abstract
Dans Les mille et une nuits, Schéhérazade est l’incarnation de la sirène qui charme par ses contes un sultan misogyne. L’influence qu’elle exerce sur ce dernier tout comme les contes qu’elle lui narre ont nourri l’imaginaire de plusieurs écrivains contemporains qui ont cherché à inventer une suite à l’histoire, à rajouter des contes ou encore à reprendre le même cadre pour y insérer leur oeuvre. Il s’agit donc de comparer ici l’image de Schéhérazade dans Les mille et une nuits avec celle que dessinent le romancier Naguib Mahfouz dans Layali Alf Layla et le dramaturge égyptien Tewfik El Hakim dans Schéhérazade. Ce travail a pour but de comprendre les modifications de la représentation de la femme orientale dans la littérature égyptienne contemporaine et la manière dont une mémoire lettrée se transforme et évolue en fécondant une écriture moderne.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".