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Showcasing Japan A Journey of Japanese Identity through Archaeology and Ancient Art Exhibitions in Italy

2024· article· en· W4400986758 on OpenAlexaff
Wei Sun, Claudia Zancan

Bibliographic record

VenueAnnali di Ca’ Foscari Serie orientale · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsKensington Health
FundersUniversity of Cambridge
KeywordsExhibitionOrientalismNarrativeArchipelagoHistoryIdentity (music)ArchaeologyArtLiteratureAesthetics

Abstract

fetched live from OpenAlex

To what extent does the narrative of Japan’s prehistorical origins matter to Italy? In the second half of the twentieth century, Palazzo delle Esposizioni in Rome hosted two significant exhibitions dedicated to Japanese archaeology and ancient art: Tesori dell’Arte Giapponese in 1958 and Il Giappone prima dell’Occidente in 1995. Both displays provided Italian visitors with an unparalleled framework to engage with early artistic manifestations of the archipelago known today as Japan. Built on a critical analysis of the prehistoric and protohistoric artefacts from the Jōmon to Kofun periods selected for the Italian audience, this paper examines the active application of narrative discourse on Japan’s identity by the Japanese government in Italy. Still, it also sheds light on the presence of Japanese archaeology and art in Italian public and private collections throughout the twentieth century. The analysis delves into the textual and visual presentation of exhibits, examining both the venue and catalogues. These sources offer insights into potential instances of orientalism or self-orientalism, revealing a narrative closely tied to stereotypical views. The investigation unravels aspects of Japan’s past emphasised in diplomatic shows, evolving alongside ground-breaking archaeological discoveries in post-war Japan.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.322
Teacher spread0.291 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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