Bibliographic record
Abstract
Recent interpretations of the archaeology of domesticated rice evolution and the development of agriculture in the Lower Yangzi Valley are being informed by new genetic, palaeoenvironmental, archaeological and archaeobotanical data. This paper explores current views on early rice production in the region and attempts to expand the discourse to provoke exploration of new and modified questions. Rice-specific botanical through large-scale ecological issues and causality are examined. This paper argues that understanding rice domestication and production, although important, should not be the exclusive goal of research on early agriculture in the Yangzi Valley. Despite the preliminary nature of the investigations at Kuahuqiao ( c. 8000–7000 cal. BP), evidence of resource management, and potential domesticated resources or their ancestors that includes pig ( Sus scrofa), peach ( Prunus persica), apricot ( P. armeniaca), Japanese apricot ( P. mume), foxnut ( Euryale ferox) and water chestnut ( Trapa spp.) underscore the need to broaden the scope of inquiry on early food/resource production. The complexities of the archaeological and environmental record in the Yangzi valley indicate that nuanced, complex explanations for rice domestication and agricultural origins rather than deterministic, single cause explanations are necessary in order to move forward.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".