Foreign aromatics, olfactory culture, and scent connoisseurship in late medieval China
Bibliographic record
Abstract
Abstract By the end of the Tang Dynasty (618–907 CE), olfactory culture in China had evolved significantly as coveted aromatics continued to be imported and in increasing quantities from Southeast Asia. Although there is no surviving treatise dedicated to aromatics from this period, anecdotes in prose literature describing the uses and curation of scents reveal a process in which imported aromatics were being actively incorporated into existing olfactory culture and accrued new social, aesthetic, and ritual significance. This process is discernible in two major respects. First, a discourse of connoisseurship for aromatics arose in contrast to the conspicuous consumption of imported aromatics that flaunted wealth and status. Secondly, aromatics that were once the privilege of the very few began to be circulated among a wider (admittedly still elite) population, as seen in the case of the dragon brain aromatic in late-Tang and Five Dynasties accounts. By delving into these and related prose narratives and by cross-examining these accounts against other types of records, this article examines how imported aromatic goods shaped the Tang elite's perception of how scent was—and could be—used as part of a socially rooted sensory experience.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".