Complexity of agricultural economies in the Yiluo region in the late Neolithic and bronze age (3500–221 BC): An integrated stable isotope and archeobotanical study from the Tumen site, North China
Bibliographic record
Abstract
Abstract The region of Yiluo in North China witnessed the development of social complexity in the Neolithic period and the emergence of the first Chinese state society in the early Bronze Age. However, the agricultural economies in the Neolithic–Bronze Age periods of this region and its influence on the social complexity in this area have not been adequately understood, owing to the relative lack of evidence from archeobotany, chronology, and stable isotope analysis in this region. Archeobotanical and isotopic evidence, together with chronological data from the Tumen site, reveals that the complexity of the agricultural economy composed of millet and rice appeared during the late Yangshao period in the Yiluo region and became more intensified in the following Longshan and Bronze Age periods. During the Yangshao and Longshan periods, environmental factors such as landform and hydrology were likely important factors for the diverse agricultural patterns. The complexity of the agricultural economy has an influence on settlement hierarchy and population growth, suggesting that the rise and intensification of the complex agricultural economy was an important driving force in societal development in the Yiluo region.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| 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".