Bibliographic record
Abstract
A postcolonial adaptation of Shakespeare’s The Tempest, African poet Aime Cesaire’s play A Tempest overtly conveys his anti-colonism, exploring the relationship between Prospero the colonizer and his colonial subjects Caliban and Ariel from the perspective of the colonized. Comparing the characterization and the colonizer/colonized relationship in the two plays, this paper illustrates that Aime Cesire’s A Tempest is a delivery of his idea of Negritude, a call for freedom and a reflection of the ways to gain the freedom. Key words: colonizer, colonized, Negritude, freedom Resume: Le theâtre du poete africain Aime Cesaire intitule Une tempete, adaptee d’apres La Tempete de Shakespeare, decrit la relation entre le colonisateur Prospero et les colonises Caliban et Ariel dans la perspective du colonise. Il constitue la proclamation de la pensee d’anti-colonialisme de l’auteur. A travers la comparaison de la description des personnages et de la relation colonisateur-colonise dans les deux theâtres, l’article present conclut qu’Une tempete de Cesaire exprime la negritude, l’appel a la liberte et la reflexion sur la voie de liberte. Mots-Cles: colonisateur, colonise, negritude, liberte
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| 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".