MétaCan
Menu
Back to cohort
Record W4295309835 · doi:10.32920/ryerson.14662521

Indigenous art in the museum context: an exhibition and analysis of the work of Kent Monkman.

2022· preprint· en· W4295309835 on OpenAlexaboutno aff
Kerry Swanson

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousExhibitionContext (archaeology)ColonialismVisual artsArtArt historyThe artsMuseologyHistoryArchaeology

Abstract

fetched live from OpenAlex

"From October 3,2007 to February 14, 2009, Candice Hopkins and I co-curated an exhibition of Indigenous art entitled Shapeshifters, Time Travellers and Storytellers. Held at the Institute for Contemporary Culture (ICC) at the Royal Ontario Museum (ROM), the show included work by Canadian artist Kent Monkman and seven other contemporary artists, as well as a selection of historical artifacts from the ROM's collections. The genesis of the show grew from the curators' desire to engage in the ongoing debate around the collision between past and present that was to be so conspicuously manifested in the Daniel Libeskind-designed postmodernist extension to the ROM. It was a timely opportunity to exhibit some of the groundbreaking work coming from some of Canada's contemporary artists, particularly in the context of the museum, which maintains a traditional approach to Indigenous arts and cultures. As the inaugural ICC-generated exhibit in the newly opened ROM wing, the show was to comment on the multiple layers of the colonial relationship as it was reflected by the museum's history of isplaying and housing Indigenous art, and the relationship of contemporary Indigenous artists with the museum and its collections."--Page 1.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.836

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0340.014
Scholarly communication0.0080.003
Open science0.0020.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.042
GPT teacher head0.240
Teacher spread0.198 · 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
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicMuseums and Cultural HeritageFrench-language works237,207