Maize, Fish, and Deer: Investigating Dietary Staples among Ancestral Huron-Wendat Villages, as Documented from Tooth Samples
Bibliographic record
Abstract
Following the entry of Zea mays to northeast North America, Northern Iroquoian populations expanded their numbers and range. Isotopic values from bone collagen have shown fluctuations in reliance on this dietary staple. With permission of the Huron-Wendat Nation of Wendake, Quebec, we measured δ13Cenamel, δ13Cdentine and δ15Ndentine from 167 permanent teeth, retained before reburial of their ancestral skeletons, and δ13Ccollagene and δ15Ncollagene from adhering bone (n = 53). Enamel values encapsulate diet from ca. 1.5 to 4 years of age; dentine values reflect later childhood. Teeth are from 16 ancestral Huron-Wendat sites in southern Ontario. Isotopic values show consistent reliance on maize from early fourteenth to sixteenth centuries, with higher reliance in the seventeenth century—the time of contact with Europeans and disruptive changes. We show a difference between the diets of children and adults; children consumed more maize and less animal protein. Whitetailed deer (Odocoileus virginianus) did not exploit maize fields, reflecting hunters’ exploitation of distant regions. New values from fish species (n = 21) are pooled with prior data, demonstrating diverse C and N stable isotope patterns. American eel (Anguilla rostrata) is particularly variable. Dietary protein sources were variable compared to the stability of maize: a reliable source of carbohydrate food energy across four centuries.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".