Animal husbandry strategies in <scp>Eastern Zhou China</scp>: An isotopic study on faunal remains from the <scp>Central Plains</scp>
Bibliographic record
Abstract
Abstract Textual records and archaeological evidence reflect prosperous animal farming in the Eastern Zhou of ancient China (770–220 BC), but knowledge of how these animals were fed is limited. Here, we present the first stable isotopic study investigating animal husbandry strategies of this period. Isotopic features of faunal remains of 5 species discovered in Songzhuang cemetery suggest that pigs and dogs were fed on mixed diets with substantial internal variation, and cattle were fed mainly on a C4‐based diet. This is similar to the situation found in another Eastern Zhou cemetery, Tianli. Evidence from the 2 sites demonstrates that domesticated omnivores were raised in quite flexible ways, but cattle raising practices show consistency in different areas of China's Central Plains. Inter‐burial analysis of isotopic data suggests a very small scale of cattle farming during this period. Temporal comparison reveals that early Bronze Age people on the Plains had already established practices of provisioning cattle with C4 plants, and that these practices were inherited by Eastern Zhou people without significant change. However, manuring practices of the historical period likely elevated stable nitrogen isotope values of cattle slightly relative to Bronze Age values. This study sheds light on animal management practices on the plains during early historical times, and also provides faunal isotopic values for reference in studies of contemporary human diets.
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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 | 0.002 | 0.002 |
| 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".