Early transatlantic movement of horses and donkeys at Jamestown
Bibliographic record
Abstract
Abstract Domestic horses and donkeys played a key role in the initial colonization of the Atlantic seaboard of the Americas, a process partially chronicled by historical records. While Spanish colonists brought horses to the Caribbean and southern latitudes earlier, the transport of domestic horses to the English colony at Jamestown, Virginia in 1606 was among the first dispersals to the eastern seaboard. Archaeozoological analysis, isotope analysis, and radiocarbon dating of identifiable domestic equid remains from two contexts associated with the initial occupation of Jamestown demonstrate intense processing and consumption of the first Jamestown horses during the “Starving Time” winter of 1609, while paleopathological data show evidence of their use in transport. Osteological, genetic, and isotopic study of these equid remains reveal the presence of at least one adult domestic donkey with mixed European and West African ancestry, possibly supplied through undocumented exchange during a trans-Atlantic stopover. These results reveal the importance of equids in the survival of early European settlers and the global connectivity of early trans-Atlantic exchange in horses and donkeys, showing Caribbean and African links in the founding livestock populations and pointing towards an important and ecologically-anchored role for donkeys in the early colonial lifeways along the Eastern seaboard.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".