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Record W4211179664 · doi:10.1093/tcbh/hwab038

The Hilditch–McGill Chinese Palace Temple: Exhibitions, Mass Culture, and China in the British Imagination in the 1920s

2021· article· en· W4211179664 on OpenAlexaboutno aff
Lewis Ryder

Bibliographic record

VenueTwentieth Century British History · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionTempleChinaArtMass cultureVisual artsArt historyAncient historyHistorySociologyAnthropologyArchaeology

Abstract

fetched live from OpenAlex

In February 1926, Chinese art collector John Hilditch opened the Hilditch-McGill Chinese Palace Temple in Manchester. Filling a garage with Chinese objects and performing what he claimed to be Buddhist rituals, Hilditch insisted the temple offered visitors a chance to see Chinese art in 'actual Chinese fashion and atmosphere'. This article analyses Hilditch's attempts to construct an authentic temple and visitor accounts of its realism to analyse the relationship between high and low culture, and how China was understood and imagined in the 1920s. It shows how Hilditch's combination of sensory effects adopted from mass culture and claims to museum notions of scientific verification, in addition to the projection of well-established stereotypes of China, skewed understandings of authenticity and invited faith-albeit most likely 'ironic' faith-in the temple's legitimacy. Scholars have argued that the rise of mass culture prompted art museums to restructure on high cultural values but interpretation of the temple as a museum shows that the lines between mass culture and museums were blurred. The temple thereby encourages a broader definition of museums and complicates our understanding of interwar culture more generally by showing how the categories of high and low culture were less stable than some scholars have presumed.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.025
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.225
Teacher spread0.218 · 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 designQualitative
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

Citations2
Published2021
Admission routes1
Has abstractyes

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