Testing for Mississippian Period Turkey Management in the Archaeological Record of the Southeastern United States
Bibliographic record
Abstract
People living in Mesoamerica and what is now the eastern and southwestern United States used turkeys (Meleagris gallopavo) as sources of meat, eggs, bones, and feathers. Turkey husbandry and domestication are confirmed in two of these regions (Mesoamerica and the American Southwest), but human-turkey interactions in Eastern North American (eastern United States and Canada) are not fully explored. We apply stable isotope (δ13C, δ15N) and ancient mitochondrial DNA analyses to archaeofaunal samples from seven sites in the southeastern United States to test whether turkeys were managed or captively reared. These combined data do not support prolonged or intensive captive rearing of turkeys, and evidence for less intensive management is ambiguous. More research is warranted to determine whether people managed turkeys in these areas, and whether this is generalizable. Determining whether turkeys were managed or reared in the southeastern United States helps define cultural and environmental factors related to turkey management or husbandry throughout North America. This inquiry contributes to discussion of the roles of intensified human-animal interactions in animal domestication.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".