Haïti : les pouvoirs de l'art dans Le Sang et la Mer de Gary Victor et La Belle Amour humaine de Lyonel Trouillot
Bibliographic record
Abstract
Dans cet article, l'auteure pose une question en écho aux événements de janvier 2010 : "comment écrire encore après les catastrophes ?". Elle en prend pour témoins les œuvres de Gary Victor et de Lyonel Trouillot (respectivement parues en 2010 et 2011) qui, pour l'une, raconte l'histoire d'une orpheline, Hérodiane, au parcours difficile, et rapporte, pour l'autre, l'enquête d'Anaïse, une étrangère, sur les traces de sa famille haïtienne. Odile Gannier analyse la construction de l'intrigue et des personnages, mais aussi les tonalités et les genres représentés dans les deux œuvres, ainsi que leurs multiples similitudes avec d'autres formes de production artistique (la peinture en particulier).
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".