« Mon pays, c’est mes enfants et mes petits-enfants » : exils et transcendance dans Le Bonheur a la queue glissante d’Abla Farhoud
Bibliographic record
Abstract
L’identitaire dans ce premier roman de Farhoud est inextricablement liée à l’exil, que ce soit l’exil physique, ou bien, l’exil intérieur. D’une part, l’exil physique se manifeste par la migration, d’abord lorsque le personnage principal, Dounia, quitte son village pour vivre dans celui de son mari, et ensuite lorsqu’elle émigre au Canada. D’autre part, l’exil intérieur provient de la subordination imposée par la culture patriarcale. Nous comptons examiner ces deux formes d’exil, ainsi que les conséquences qui en résultent, telles que la marginalisation, la dépossession linguistique, et le refoulement identitaire. Nous discuterons également des tentatives qu’entreprend Dounia de transcender sa marginalisation en établissant des relations interpersonnelles.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.018 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".