Reconstructing diets and subsistence strategies of the Bronze Age humans from the Central Plains of China: A stable isotopic study on the Nanwa site
Bibliographic record
Abstract
Abstract A multicrop agricultural system, including millet, wheat, rice, and soybeans, first emerged in China in the Late Longhang period and is considered to be one of the most important basic foundations underpinning the origin and development of early states in China. However, there is still a lack of studies on the specific subsistence strategies of humans from the Bronze Age, specifically addressing how widespread the multicrop agricultural system was. To explore these questions above, carbon and nitrogen isotope analysis on human bones from the Nanwa site (ca 1720–256 BC & 960–1279 AD) was undertaken to investigate the palaeodiet and subsistence strategies of the Nanwa humans. This paper also reviews the existing stable isotope data of Bronze Age humans on the Central Plains of China. The Nanwa humans from the Erlitou and Yinxu periods have a mean δ 13 C value of −9.4 ± 0.7‰ and −9.1 ± 0.9‰, suggesting a predominantly C 4 diet, probably derived from millet agriculture or domesticated animals fed on millet. Nanwa humans of the Eastern Zhou Dynasty have a relatively low mean δ 13 C value of −10.5 ± 2.4‰, indicating a consumption of much more C 3 foods, likely derived from rice, wheat, soybean, or animals that fed on those plants. A temporal stable isotopic comparison from the Erlitou period to the Eastern Zhou Dynasty on the Central Plains of China shows the majority of the Bronze Age humans have high mean δ 13 C value (−9.5 ± 1.8‰), suggesting a predominantly C 4 ‐based diet. We infer that millet agriculture was still the primary economy for humans during the Bronze Age. However, there is a relatively large proportion of humans from the Eastern Zhou Dynasty that have decreased δ 13 C values, indicating a much more C 3 foods consumption and diversity diet, presumably derived from a multicrop agricultural system of millet, wheat, rice, and soybean. It is possible that the trend moved from a narrowly focused, mainly millet‐based diet, to a more diverse agricultural system and was triggered by a combination of factors such as climate change, agricultural reform, social stratification, wars, migration, and so on.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".