Long-Term Responses to a 5.3-ka BP Climate Event and the Absolute Dominance of Foxtail Millet in Early Longshan (4800–4300 BP), Southern Loess Plateau, China
Bibliographic record
Abstract
Abrupt climate events profoundly impact human societies, both environmentally and socially. However, existing research predominantly concentrates on immediate responses, overlooking long-term consequences. This study, centered on the Guojiazaoyuan site in the southern Loess Plateau, explores the enduring effects of a 5.3-ka BP climate event that transformed the local subsistence system. Through detailed analysis of archaeobotanical evidence, specifically floral remains dating to 4800–4300 BP obtained via flotation, significant post-event shifts in agricultural practices and food strategies are revealed. Notably, there is a clear prioritization of foxtail millet cultivation, a shift towards diversified food sources, and the introduction of new livestock. These changes represent strategic adaptations aimed at bolstering resilience and reducing vulnerability to future climatic challenges. The southern Loess Plateau developed an agricultural pattern with foxtail millet as the dominant crop, although different patterns were observed in surrounding regions during the early Longshan period (4800–4300 BP). Emphasizing the importance of a long-term perspective, particularly in agriculture and food security, the findings contribute to a broader understanding of how ancient societies coped with environmental changes. These insights are pertinent to ongoing discussions on climate resilience and sustainable agriculture.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".