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Record W2018987294 · doi:10.5539/ach.v4n1p48

Study on Carving Art of DangShi Manor in Suide County, Shaanxi, China

2011· article· en· W2018987294 on OpenAlexvenueno aff
LI Yan-jun, Xiaosheng Sun

Bibliographic record

VenueAsian Culture and History · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsCarvingConnotationChinaField surveyAesthetic valueStyle (visual arts)Perspective (graphical)Value (mathematics)HistoryArchaeologyVisual artsGeographyAestheticsArtCartography

Abstract

fetched live from OpenAlex

The DangShi manor is located in Hejiashi Village, Baijiajian Town approximately 20 kilometers from the southeast part of Suide County, Shaanxi Province, the unique architecture in Qing Dynasty that has been preserved almost intact in Suide County, a great cultural county, and is an officially protected site in Shaanxi Province. By means of field survey, mapping and taking photos and recording in Dangshi manor, this article acquires the abundant first-hand data about carving art of the manor. With the methods of comparison and induction from the holistic perspective and detailed analysis in the local perspective, this article makes a meticulous analysis and study on the style, content, connotation, moulding and technique of carving art of Dangshi manor and discusses characteristics and protection and inheritance value of carving art of Dangshi manor in a systematic way.

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 categoriesInsufficient 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 score0.776
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.108
GPT teacher head0.220
Teacher spread0.112 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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