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Record W4306406051 · doi:10.1017/eac.2022.12

RETHINKING THE ANCESTRAL SHRINES IN THE EARLY EMPIRES

2022· article· en· W4306406051 on OpenAlexaff
Tian Tian, Wen Zhou

Bibliographic record

VenueEarly China · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsEmperorRealmHistoryAncient historyCultPeriod (music)KingdomOrder (exchange)Power (physics)ArchaeologyArtAesthetics

Abstract

fetched live from OpenAlex

Abstract This article examines the development of early imperial ancestral shrines by exploring the Liye and Yuelu 嶽麓 Qin slips, along with other excavated texts and historical documents. It argues that Qin Shihuang's 秦始皇 court was the first to specify the regulations for the early imperial ancestral shrine, a crucial part of which was the establishment of the Taishang huang 太上皇 shrines throughout the realm, making the imperial ancestral cult part of the daily local administrative affairs. The Western Han courts largely adopted the regulations stipulated by Qin Shihuang in their commandery and kingdom shrines until late Western Han, when ritual reforms brought the imperial ancestral shrines closer to what Michael Loewe calls the Reformist vision, entailing potential conflicts between bloodlines and the hereditary order of succession. By no means did the early empires simply continue in the stipulations for the imperial ancestral shrines the royal practices of the pre-imperial period; instead, the precedents transmitted to Eastern Han reflected two major ritual reforms, with local ancestral shrines and personal participation by the emperor key subjects of debates.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.027
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.294
Teacher spread0.250 · 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 designTheoretical or conceptual
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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