Lipid residue analysis reveals divergent culinary practices in Japan and Korea at the dawn of intensive agriculture
Bibliographic record
Abstract
The dispersal of millet and rice agriculture from Korea to Japan from around 3,000 y ago has been well documented through radiocarbon analysis of botanical remains and surveying seed impressions on pottery. Much less is known about the extent to which these novel crops were consumed and incorporated into everyday culinary practices. In Japan, agriculturalists moving from Korea would have encountered large, sedentary Final Jomon populations who had well-established hunting, foraging, and cultivation strategies for exploiting indigenous fauna and flora. The degree to which these encounters hindered or enhanced the emergence of agriculture is a key question. To investigate potential changes in food exploitation, we analyzed the contents of pottery through lipid residue analysis of 260 vessels from Bronze Age (Mumun) Korea and contemporary Jomon and Yayoi pottery from Northern Kyushu. A lipid biomarker for broomcorn millet was only found in samples from Korea, suggesting that this crop was not routinely prepared in early agricultural pottery from Japan, despite some botanical evidence for its cultivation. Instead, aquatic products continued to be used in early agricultural pottery, pointing to continuity from the Jomon period despite the arrival of new "continental" ceramic forms. Rice remains difficult to identify conclusively, but by modeling carbon isotope values, we were able to determine the maximum extent that rice may have contributed. Overall, we show that there was a change in culinary practices as agriculture dispersed from Korea to Japan, most likely influenced by different long-standing traditions of preparing and cooking foods in each locality.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".