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Record W7027090215

Collecting and Displaying China's 'Summer Palace' in the West: The Yuanmingyuan in Britain and France

2017· other· en· W7027090215 on OpenAlexaboutno aff

Bibliographic record

VenueSOAS Research Online (SOAS University of London) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCulminationPoliticsQuarter (Canadian coin)Focus (optics)Government (linguistics)National museum
DOInot available

Abstract

fetched live from OpenAlex

In October 1860, at the culmination of the Second Opium War, British and French troops looted and destroyed one of the most important palace complexes in imperial China—the Yuanmingyuan. Known in the West as the "Summer Palace," this site consisted of thousands of buildings housing a vast art collection. It is estimated that over a million objects may have been taken from the palaces in the Yuanmingyuan—and many of these are now scattered around the world, in private collections and public museums. With contributions from leading specialists, this is the first book to focus on the collecting and display of "Summer Palace" material over the past 150 years in museums in Britain and France. It examines the way museums placed their own cultural, political and aesthetic concerns upon Yuanmingyuan material, and how displays—especially those at the Royal Engineers Museum in Kent, the National Museum of Scotland and the Musée Chinois at the Château of Fontainebleau—tell us more about European representations and images of China, than they do about the Yuanmingyuan itself.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.057
GPT teacher head0.357
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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