Strontium Isotope Evidence for Prehistoric Migration at Chokepukio, Valley of Cuzco, Peru
Bibliographic record
Abstract
Abstract Although Spanish chroniclers referred frequently to coerced migration in the Inca Empire, these migrations have been difficult to document archaeologically. One approach to migration studies, strontium isotope ( 87 Sr/ 86 Sr) analysis, has emerged as an effective technique. Until now, however, this method has not been applied to the Inca heartland region of Cuzco, Peru. In this study, we use strontium isotope analysis to examine patterns of prehistoric migration in the Cuzco Valley. Human dental enamel samples from the Cuzco Valley site of Chokepukio are analyzed and compared to the local 87 Sr/ 86 Sr signature established through faunal specimens. Though tentative due to a small sample size, the isotope results do not provide evidence for migration at this site from the time periods preceding the rise of the Inca Empire (200 B.C. to A.D. 1400). In contrast, there is substantial evidence for migration during the time of Inca imperialism (A.D. 1400–1532). Among these migrants, variation in 87Sr/86Sr values suggests that individuals emigrated from geologically diverse locations, while sex differences in the migrant group include a higher percentage of females and a greater diversity in female 87 Sr/ 86 Sr values. These data, along with ethnohistoric evidence, reveal how Inca labor policies reconfigured the composition of populations in the imperial heartland.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".