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Record W3216985708 · doi:10.82308/18195

The stories told : indigenous art collections, museums, and national identities

2005· article· en· W3216985708 on OpenAlexaboutno aff
Rachelle. Dickenson

Bibliographic record

VenueeScholarship@McGill (McGill) · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousVisual artsNational museumHistoryArtGeographyArchaeology

Abstract

fetched live from OpenAlex

The history of collection at the National Gallery of Canada, the Art Gallery of Ontario and the Montreal Museum of Fine Arts, illustrates concepts of race in the development of museums in Canada from before Confederation to today. Located at intersections of Art History, Museology, Postcolonial Studies and Native Studies, this thesis uses discourse theory to trouble definitions of nation and problematize them as inherently racial constructs wherein 'Canadianness' is institutionalized as a dominant white, Euro-Canadian discourse that mediates belonging. The recent reinstallations of the permanent Canadian historical art galleries at the National Gallery of Canada, the Art Gallery of Ontario and the Montreal Museum of Fine Arts are significant in their illustration of contemporary colonial collection practices. The effectiveness of each installation is discussed in relation to the demands and resistances raised by Indigenous and non-Native artists and cultural professionals over the last 40 years, against racist treatment of Indigenous arts.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.581
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0400.045
Scholarly communication0.0150.010
Open science0.0020.011
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.024
GPT teacher head0.220
Teacher spread0.196 · 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
Published2005
Admission routes1
Has abstractyes

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