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Record W4411460020 · doi:10.1111/arcm.70004

Compositional characteristics of proto‐porcelain wares of the Wuyishan cluster in Southeast China

2025· article· en· W4411460020 on OpenAlexaff
Zequn Li, Tao Ma, Zelin Yang, Weiqiang Li, Yuqi Li, Fang Yuan, Liangren Zhang

Bibliographic record

VenueArchaeometry · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsUniversity of Ottawa
FundersNational Office for Philosophy and Social SciencesNanjing University
KeywordsKilnChinaArchaeologyCluster (spacecraft)Geography

Abstract

fetched live from OpenAlex

Abstract The enduring mystery of the production, trade, and consumption of the prestigious proto‐porcelain wares across northern and southern China has abated in the wake of discovery of kilns for such products in the recent decades. A new cluster of such kilns recently discovered in the Wuyishan Mountain, in particular, supplies a promising candidate for provenancing those of the Western Zhou (1045‐771 BCE). To test this possibility, however, it is indispensable to investigate a priori the compositional characteristics of the products of this cluster. To this end, the authors analyzed a number of samples of proto‐porcelain wares from three sites and porcelain stone near them with ICP‐OES and SEM‐EDS. They found that the bodies of the samples are made of porcelain stone available in the vicinity. The discrepancies in the bodies and glazes across different production sites are largely derived from deliberate choices of raw materials and firing technologies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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