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Record W6942595873 · doi:10.14989/281938

畫紋帶神獸鏡の東傳 --型式と鉛同位體比からみた九子派の動態--

2022· article· ja· W6942595873 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2022
Typearticle
Languageja
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Period (music)Type (biology)Mirror image

Abstract

fetched live from OpenAlex

In the Sichuan Basin, there were two groups of mirror workshops in the 2nd century, the Guanghan 廣漢 school and the Jiuzi 九子 school. The Guanghan school created the motif of divinities and animals (Shen-shou 神獸), animal heads (Shou-shou 獸首) and eight-phoenix (Ba-feng 八鳳) mirrors by order from Shang-fang 尙方of the Imperial Department, while Jiuzi school created the mirrors with figures of deities on three panels 三段式神仙鏡, which were distributed mainly in the local area. In the third quarter of the 2nd century, the Jiuzi school imitated the Shen-shou mirrors with ring-like nipples (環狀乳) of the Guanghan school, and after trial and error, created the contraposition styles(對置式) of Shen-shou mirrors. Since this type mirrors are mainly excavated from the middle reaches of the Changjiang River, it has been thought that Jiuzi's workshops were relocated from the Sichuan. But three specimens of Jiuzi's mirrors found to contain lead of anomalous isotope ratios called Mississippi Valley type (MVT) in isotope geology, and these mines are found in a border region between Sichuan and Yunnan Provinces. I propose that this type of Shen-shou mirrors were consistently made in the Sichuan and may have been transported to the eastern region.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0090.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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Same venueInstitutional Repositories DataBase (IRDB)Same topicMedieval Literature and HistoryFrench-language works237,207