La littérature comme moyen de raconter l’indicible : La narration des traumatismes migratoires dans The Boat People de Sharon Bala et Ceux du lointain de Patricia Cottron-Daubigné
Bibliographic record
Abstract
La romancière canadienne Sharon Bala et la poétesse française Patricia Cottron-Daubigné explorent la condition des réfugiés à travers la prose dans The Boat People et la poésie dans Ceux du lointain. Ces écrivaines s’engagent à travers leur art et remettent en cause les politiques des états d’accueil tout en interpellant leur lectorat. Leurs œuvres littéraires retranscrivent des histoires de migration, des récits indicibles qui sont souvent oubliés, et inscrivent l’histoire enfouie dans un discours littéraire humaniste. Cet article montre comment l’humanisme de Bala et Cottron-Daubigné consiste précisément à donner une voix et un nom à ceux qui, dans leur détresse, semblent ne pas en avoir. Mais l’humanisme, comme le souligne Homi K. Bhabha, est également la position inconfortable du lecteur face au récit de l’indicible.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".