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Record W7006848597

Whose Chinatown? : Examining Chinatown Gazes in Art, Archives, and Collections

2023· book· en· W7006848597 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueE-Artexte (Artexte) · 2023
Typebook
Languageen
FieldSocial Sciences
TopicColonial History and Postcolonial Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownExhibitionColonialismPublic historyNarrativeNarrative historyOral historyContemporary art
DOInot available

Abstract

fetched live from OpenAlex

"Whose Chinatown? Examining Chinatown Gazes in Art, Archives, and Collections, brings together an art history of Chinatowns and their communities by historical and contemporary Canadian artists such Emily Carr, Unity Bainbridge, Yucho Chow, Fred Herzog, Paul Wong, Mary Sui Yee Wong, Morris Lum, and aiya哎呀, among others. Drawing from private collections in Vancouver and across Canada, such as the Beatrice and Raymond Jai Collection, and the Chung Collection which holds more than 25000 rare items related to Chinese Canadian history assembled over 60 years and is now housed at UBC, the show will also be augmented with public archives and collections. Complementing the artworks, artefacts, and archival materials is a robust public programming. This exhibition aims to question how narratives are constructed around the idea of Chinatown and the colonial notions that underwrite some of these relations." -- Publisher's website

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.280
Teacher spread0.255 · 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