Tracing Maize History in Northern Iroquoia Through Radiocarbon Date Summed Probability Distributions
Bibliographic record
Abstract
Abstract The evolution of maize as an organism, its spread as an agricultural crop, and the evolution of Native American maize-based agricultural systems are topics of research throughout the Western Hemisphere. Maize was adopted in Northern Iroquoia, comprising portions of present-day New York, Ontario, and Québec by 300 BC. By the fourteenth-century AD, maize accounted for >50 to >70% of ancestral Iroquoian diets. Was this major commitment to maize agriculture a gradual incremental evolution, or was there a rapid increase in commitment to maize-based agriculture around AD 1000 as traditional archaeological narratives suggest? Summed probability distributions of direct radiocarbon dates on maize macrobotanical remains and cooking residues containing maize phytoliths combined with maize macrobotanical maize densities at sites and previously published stable isotope values on human bone collagen used with Bayesian dietary mixing models and cooking residues show an initial increase in maize use at AD 1200–1250 and a subsequent increase at AD 1400–1450. These results indicate maize history in Northern Iroquoia followed an exponential growth curve, consistent with Rindos’ (1984) model of agricultural evolution.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".