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Record W4392370201 · doi:10.1017/s1356186323000640

Foreign aromatics, olfactory culture, and scent connoisseurship in late medieval China

2024· article· en· W4392370201 on OpenAlexafffund
Linda Rui Feng

Bibliographic record

VenueJournal of the Royal Asiatic Society · 2024
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsUniversity of Toronto
FundersJackman Humanities Institute, University of TorontoUniversity of Toronto
KeywordsChinaHistoryArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.082
GPT teacher head0.267
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes2
Has abstractyes

Explore more

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