EXAMINING CHRONOLOGICAL TRENDS IN ANCIENT MAYA DIET AT MINANHA, BELIZE, USING THE STABLE ISOTOPES OF CARBON AND NITROGEN
Bibliographic record
Abstract
We present the results of stable carbon and nitrogen isotope analyses of bone collagen and bone bioapatite from the ancient Maya center of Minanha, Belize (ca. 100 B.C. to A.D. 1260). The purpose of this research was to reconstruct diet and investigate the influence of sociopolitical and environmental factors. Overall, diet was relatively stable over time, with maize being a staple in all periods. Maize consumption reached its peak in the transitional Early to Middle Classic periods and decreased over time. When isotope data from dry periods were compared to normal periods, there were no significant differences, although comparisons of isotope data by burial location and type suggest that the apical or ruling elite consumed a more diverse diet, with more animal protein, relative to the lesser elites. The temporal variability in maize consumption seems best explained by sociopolitical factors documented at Minanha and within the Vaca Plateau. This study demonstrates the resilience of ancient subsistence practices in the face of climatic instability and highlights the impact that social and political factors can have on diet and subsistence economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".