Poursuivre en justice pour s’affranchir : une forme de résistance ? L’exemple de l’esclave Furcy
Bibliographic record
Abstract
La décision d’un esclave de revendiquer sa liberté en justice est certes un acte de résistance contre l’esclavage, mais ce n’est pas nécessairement un acte antiesclavagiste. Au moyen de la micro histoire, cet article fait état des différences entre la compréhension personnelle d’un esclave de sa condition injuste et les arguments avancés par ses avocats pour obtenir sa liberté. La lutte individuelle de l’esclave Furcy n’a pas contribué de manière significative au mouvement antiesclavagiste français au XIXe siècle. Au contraire, la décision de la Cour royale d’affranchir Furcy en fonction du principe du sol libre a stabilisé le régime esclavagiste colonial jusqu’à la Révolution de 1848.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".