Slave Prices from Succession and Bankruptcy Sales in Mauritius, 1825--1827
Bibliographic record
Abstract
Nous construisons une base de données unique à partir des ventes de succession et de faillites sur l'Île Maurice afin d'étudier les prix des esclaves entre 1825 et 1827. Nous trouvons que les hommes, les femmes vendues avec enfants, les esclaves qualifiés et ceux vendus en période de récolte obtiennent les prix les plus élevés. En comparaison, les esclaves avec handicap, ainsi que ceux qui ne sont pas originaires de l'Île Maurice sont vendus moins cher. De plus, la prime pour des jeunes enfants augmente durant la période étudiée. Ceci pourrait indiquer que les propriétaires n'anticipaient pas une abolition prochaine de l'esclavage ou encore pensaient recevoir une compensation financière si l'esclavage était aboli.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".