Understanding “local”: Prehispanic Maya mobility and diet at Pacbitun, Belize, using strontium, oxygen, sulfur, carbon, and nitrogen isotope values
Bibliographic record
Abstract
Abstract Classic period Maya populations were mobile, and both burial patterns and dietary analyses suggest that many movers were incorporated into local communities. This paper presents a multi‐isotopic (Sr, O, S, C, and N) study of the diet and mobility of 18 Late (AD 550–800) and Terminal Classic (AD 800–900) individuals from the site of Pacbitun, Belize. Three distinct isotope systems identify where people lived at different stages of life, from the childhood origins of migrant and local Pacbitun populations to their final residences. The enamel strontium isotope ratios of the Court 3 individuals were higher than local ranges established by faunal and human bone values, suggesting elite migration, or even residential mobility within the polity. Sulfur isotope values reveal information about the local population, where all but one individual in the sample lived at the site for many years before they died. The exception was an isotopically nonlocal individual in a dedicatory deposit, as reported in other studies. Diet also informs on the receiving community and how migrants assimilated, as people with local and nonlocal isotope values ate isotopically similar foods. Individuals from elite site core contexts and those in Pacbitun's peripheral settlements both consumed C4‐enriched proteins, though there were more isotopically diverse protein sources in peripheral settlements during the Terminal Classic period. Sulfur, carbon, and nitrogen isotope data also reveal some differences in where food was acquired, including use of nonlocal fauna. Combining isotope systems that sample different body tissues also may blur the line between migrants and locals, terms that may describe the same person at different stages of life and show the need for a more nuanced discussion of ancient mobility.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".