Man and Landscape: Literary Biodiversity and Aesthetic Revolution in Aimé Césaire and Alfred Alexandre
Bibliographic record
Abstract
This article examines biodiversity in Caribbean literary texts in terms of the subject’s interaction with its environment. Using evocations of island and urban landscapes from Cahier d’un retour au pays natal, Moi laminaire, Le bar des Amériques and Les villes assassines, we show how the authors employ an environmental lexicon to express themselves while painting the world. The writing communicates a world devastated by a painful memory of slavery and a modern society stricken by extreme violence. The crisis of the living world, linked to the commodification of human beings from the slave trade to the neo-trafficking of drugs and prostitution, creates tensions and imbalances that the narrators try to rebalance through their reflections on the world. Literature enables us to reexamine these focal points of historical and contemporary domination in order to decry their mechanisms, in an innovative socio-poetic and aesthetic language, with a view to building a more viable and healthier society.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".