Diverse and Dynamic Dietary Patterns in Early Colonial Cuba: New Insights from Multiple Isotope Analyses
Bibliographic record
Abstract
The European conquest and colonization of the Caribbean precipitated massive changes in indigenous cultures and societies of the region. One of the earliest changes was the introduction of new plant and animal foods and culinary traditions. This study presents the first archaeological reconstruction of indigenous diets and foodways in the Caribbean spanning the historical divide of 1492. We use multiple isotope datasets to reconstruct these diets and investigate the potential relationships between dietary and mobility patterns at multiple scales. Dietary patterns are assessed by isotope analyses of different skeletal elements from the archaeological skeletal population of El Chorro de Maíta, Cuba. This approach integrates carbon and nitrogen isotope analyses of bone and dentine collagen with carbon and oxygen isotope analyses of bone and enamel apatite. The isotope results document extreme intrapopulation dietary heterogeneity but few systematic differences in diet between demographic/social groups. Comparisons with published isotope data from other precolonial and colonial period populations in the Caribbean indicate distinct dietary and subsistence practices at El Chorro de Maíta. The majority of the local population consumed more animal protein resources than other indigenous populations in the Caribbean, and their overall dietary patterns are more similar to colonial period enslaved populations than to indigenous ones.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".