Africa, Slavery, and the Slave Trade, Mid-Seventeenth to Mid-Eighteenth Centuries
Bibliographic record
Abstract
Which of the major components of the Atlantic world — the Americas, Africa, and Europe — was most immediately affected by the integration of the Old and New Worlds that Columbian contact triggered? On epidemiological grounds alone the Americas would be the choice of most scholars, with Europe, at least prior to the eighteenth century, the least affected. In terms of dramatic economic, demographic, and social consequences of the early stages of Atlantic integration, Africa lies somewhere between the two. Yet if we shift the focus to changes in the nature and size of connections between the continents as opposed to changes within them, the most striking developments between the 1640s and the 1770s relate to Africa, not Europe or the Americas. The Slave Coast was a major supplier of slaves to transatlantic markets. West Central Africa, by far the largest supplier of slaves to the Americas, experienced two diasporas. Captives from the northern ports went to the colonies of northern Europeans, those from Luanda and Benguela in the south went to Brazil. By the end of the third quarter of the eighteenth century, the transatlantic slave trade was close to the highest level it was ever to attain.
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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 | 0.000 | 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 | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".