Prehispanic and colonial Maya subsistence and migration: contributions from stable sulfur isotope analysis.
Bibliographic record
Abstract
The Maya who inhabited southeastern Mesoamerica from the Preclassic to Colonial periods (1000 BCE to 1821 CE) have been the focus of intensive archaeological study for over a century. Recent theoretical and methodological developments have contributed to nuanced understandings of Maya migration and subsistence practices. Stable sulfur isotope (δ³⁴S) analysis of bone collagen is a novel technique that has been applied to Maya skeletal collections, although the variation in environmental δ³⁴S values throughout the Maya region has yet to be systematically characterized. This research presents the first Maya faunal sulfur isotope baseline based on the δ³⁴S values of 148 archaeological faunal remains from 13 sites in the Northern and Southern Lowlands. As expected, terrestrial animals in coastal areas had elevated δ³⁴S due to sea spray. However, those from inland sites had unexpectedly high δ³⁴S values that varied depending on the age of the underlying limestone. Although the δ³⁴S values of marine animals were lower than expected, similarly low values in freshwater animals permits the differentiation of freshwater and terrestrial animals at inland sites. These data demonstrate that sufficient variation in δ³⁴S values exists in the Maya region to identify sources of protein and nonlocal animals, which speaks to prehispanic Maya animal exchange and interregional interaction. The δ³⁴S values of 49 humans from seven Maya sites ranging from the Preclassic to Colonial periods were also interpreted using the faunal baseline. The spatial distribution of human δ³⁴S values differed from that of the terrestrial fauna, demonstrating sociocultural variation in Maya resource procurement in addition to underlying environmental influences. A comparison of carbon and nitrogen data from the same individuals also revealed the consumption of protein from different catchments. Nonlocal δ³⁴S values show three individuals migrated near the end of their lives, and when integrated with childhood strontium and oxygen isotope data from tooth enamel, demonstrate a more robust means of investigating the length of residence and potentially the extent of integration into the receiving community. Finally, a case study of the prehispanic Maya from Nakum, Guatemala, demonstrates the contributions of stable sulfur isotope analysis to the interpretation of Maya subsistence strategies and migration when integrated into a multi-isotopic approach.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".