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Publications and Studies on Ritual Bronzes of Sanxingdui in European and Japanese Languages

2025· article· W4417501885 on OpenAlexaboutno aff
A. V. Varenov

Bibliographic record

VenueVestnik NSU Series History and Philology · 2025
Typearticle
Language
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsExhibitionChinaBronzeExcavationQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Sanxingdui is a Bronze Age archaeological culture spread in the vicinity of Chengdu, an administrative centre of the Sichuan province of the Peoples Republic of China in the last quarter of the 2nd millennium BC. Bronze ritual objects found in 1986 in JK1 and JK2 sacrificial pits were specific for that culture. The first to respond to the news in Chinese media about the Sanxingdui finds were prominent specialists of the 1970–1980s on archaeology of Shang and Zhou periods R. Bagley, R. Thorp, N. Barnard, K. M. Linduff, J. Rawson. Western archaeologists usually complained about the incompleteness of data they had and doubted a number of statements of their Chinese colleagues. After the 1994 Chinese publication of a colour album of sensational Sanxingdui bronze finds from this site, they were included into the exhibits of a number of large archaeological expositions held in London, Paris, Tokyo, Sydney and the USA. Each of these exhibitions was accompanied by the publication of a catalogue, which included studies about the Sanxingdui ritual bronzes. After a number of foreign tours at the beginning of the 21st century, the exhibit of Sanxingdui finds outside of China stopped for a long time. Only in 2023 the Chinese held an exhibition in Hong Kong called “Gazing at Sanxingdui: New Archaeological Discoveries in Sichuan”. The reason was the resuming of archaeological excavations in the so-called “sacrificial region” of the Sanxingdui site which resulted in the discovery of six new sacrificial pits.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.255
Teacher spread0.238 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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