Littératures franco-caribéennes et écritures nègres de la Terreur
Bibliographic record
Abstract
On s’intéresse ici à l’écriture de l’histoire haïtienne opérée par des écrivains franco-antillais (Césaire, Glissant, Placoly) qui se sont attachés aux héros de la Révolution haïtienne, Toussaint Louverture, Dessalines, Christophe 1 er , alors qu’ils furent des tyrans ou des dictateurs. Branchées à l’hypothèse de l’existence d’une tradition de terreur dans la Caraïbe, catastrophe coloniale originaire métastasée dans l’imaginaire caribéen, ces écritures nègres héroïsent le despote émancipateur. Mais on constatera une mise en suspens de leurs aspirations face au régime de la dictature duvaliériste (Cazanove, Confiant). On examinera les interactions entre les enjeux politiques de ces écritures de la terreur nègre , les limites qui leur sont signifiées et les reconfigurations contemporaines qu’elles esquissent dans le champ littéraire antillais.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".