Human-environment interactions in the development of early Chinese civilization
Bibliographic record
Abstract
Abstract Beginning with the earliest organized habitation sites the options provided by the regional environment have largely or partially governed the location and relocation of human settlements. The settlement system in second millennium BCE Henan Province, China, evolved during a period of significant climatic change and shifting river courses but relative soil stability. Human–environment interactions across the landscape have left ample remains for investigation by scholars of social and cultural change and by natural scientists. The social effects of climate and geomorphological change during this period are complex and only partially understood. It is well documented that long-term soil stability before and during the second millennium BCE gave rise to the development of good agricultural soils, without which population expansion probably could not have taken place. This paper summarizes some of the recent research in climate change and, from two of our own projects, in geomorphology and ecology that underlie environmental impacts on the evolving state-level societies, especially related to settlement location and relocation. For example, the Shang possibly relocated one or more capital sites in response to disastrous floods.
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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 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".