Slave prices, the African slave trade, and productivity in the Caribbean, 1674–1807<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
We draw wide‐ranging implications about slave productivity change by making use of newly collected data on the prices paid for nearly 230,000 slaves as they arrived in the Americas from Africa between 1674 and 1807. Prices for the product that most slaves were destined to produce‐sugar‐are also available. Together the comprehensive series allow us to derive annual measures of average slave productivity and to compare productivity trends across different sectors of the Caribbean. Average productivity rose throughout the Caribbean, and the pattern of average productivity change across regions was similar, indicating an open slave market. These averages mask sharp differences in the growth of demand for slaves among regions, as reflected by their slave populations. Between 1700 and 1790 the increase in demand ranged from 90 per cent in Barbados to 600 per cent in Jamaica and Cuba; while total factor productivity overall may have doubled. The slave trade accommodated the rising demand. It also served to offset population attrition among the slaves.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it