Bibliographic record
Abstract
Qu’est-ce qu’un « noir », un « métis », un « blanc » en plein siècle des Lumières, alors que la France pense créer la figure de l’homme universel ? Qui a inventé la « couleur de peau » ? Cet ouvrage fait revivre le grand débat qui vit s’affronter, sous la Révolution, adversaires et partisans du préjugé de couleur. Une querelle politique et philosophique, ouverte par la brusque remise en cause de l’ordre esclavagiste dans les colonies françaises d’Amérique. Deux hommes vont s’opposer à coups de libelles et de pétitions : Julien Raimond, fondateur de la Société des Citoyens de Couleur qui revendique l’« égalité de l’épiderme », et Moreau de Saint-Méry, porte-parole des colons. À partir d’archives inédites, Florence Gauthier offre à ses lecteurs de nouvelles perspectives pour comprendre le clivage qui oppose en France et dans le monde, les ambitions du différentialisme et de ses taxinomies à celles de l’universalisme et de son unité affirmée du genre humain.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".