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Record W4414833244 · doi:10.1386/jcs_00120_1

Rising to the Occasion: Valuations of Indigenous Agency and Decolonization in Royal Tours, Historic Sites and Twelve Angry Crinolines in Thunder Bay, ON

2025· article· en· W4414833244 on OpenAlexaffabout
Carla Taunton, Andrea Terry

Bibliographic record

VenueJournal of Curatorial Studies · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsSt. Francis Xavier UniversityNSCAD University
Fundersnot available
KeywordsThunderIndigenousSituatedDecolonizationNarrativeAgency (philosophy)Resistance (ecology)

Abstract

fetched live from OpenAlex

This article examines Indigenous artist interventions challenging settler-colonial narratives at heritage sites, focusing on Rebecca Belmore’s Rising to the Occasion and Twelve Angry Crinolines during the 1987 royal tour of Thunder Bay. This performance is situated within a history of Indigenous resistance during British royal visits (1973 and 1987, respectively) to Old Fort William Historical Park that activates visual sovereignty. In their critique of the park’s Eurocentric fur trade narratives, the authors position Belmore’s performance as a conceptual ‘artist-history’ intervention, offering possibilities for rethinking curatorial responsibilities and advancing decolonizing practices in cultural institutions, particularly heritage sites and historic museums.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.810
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.015
Scholarly communication0.0070.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.074
GPT teacher head0.431
Teacher spread0.357 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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