Le colorisme et le noirisme dans le contexte haïtien. Amour de Marie Vieux-Chauvet
Bibliographic record
Abstract
Il s’agit du contraste entre la Négritude, qui repose sur la certitude que le continent africain et ses habitants ont un apport positif qui doit contribuer à l’universel des cultures humaines. Il s’agit d’une main tendue sans complexe. Tandis que le colorisme, introduit par Alice Walker, et le noirisme, ont rapidement été dévoyés en une pratique du ressentiment en Haïti, causant les noirs de peau foncée de devenir la terreur de leurs compatriotes « mulâtres ». Sous l’impulsion des « trois D », dont Duvalier, le noirisme est devenu la politique des « tontons macoutes » assoiffés de pouvoir et de reconnaissance sociale, par les bourgeois mulâtres qu’ils persécutaient, selon des relents d’envie, de jalousie, de ressentiment meurtrier et de désir sexuel qui en fin de compte jouent avec le racisme, et gardent la hiérarchie des pigments intacte et opérationnelle, comme dans une famille aux relations d’amour malsaines et mortifères.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".