Bibliographic record
Abstract
Aime Cesaire. Une saison en Haiti montre la relation intense entre le grand ecrivain martiniquais et Haiti. Des ses debuts, Aime Cesaire a toujours fait d’Haiti, de son histoire, de son peuple et de sa culture un modele d’eclairage, d’inspiration et de fierte. «Haiti, la ou la Negritude s’est mise debout pour la premiere fois », dit-il. Son œuvre n’est-elle pas hommage a Haiti et a l’histoire de ce peuple qui a toujours refuse l’inacceptable? Haiti, chez Cesaire, est a la fois paradigme, epopee et mythe a celebrer.L’essai Aime Cesaire. Une saison en Haiti montre cette poetique de la relation. Si l’Afrique occupe une place privilegiee au centre de la Negritude de Cesaire, l’espace physique le plus proche rappelant le continent noir etait pour le poete Haiti. Lilian Pestre de Almeida eclaire ce point essentiel de la pensee d’un des plus grands auteurs du siecle.Lilian Pestre de Almeida est docteure es lettres de Paris IV. Elle a enseigne le francais, la litterature francaise et les litteratures francophones au Bresil, en France et au Quebec. Elle est la traductrice d’Aime Cesaire, de Leon Gontran Damas, d’Edouard Glissant et d’Anne Hebert en portugais. Elle a traduit les poetes bresiliens Manuel Bandeira, Joao Cabral de Mello Neto en francais.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".