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Record W4407729439 · doi:10.1080/09647775.2025.2467709

Art museums as ‘ <i>cultural market organization’</i> : the case of the Espace Riopelle at the Musée national des beaux-arts du Québec

2025· article· en· W4407729439 on OpenAlexafffundabout
Sarah Turcotte

Bibliographic record

VenueMuseum Management and Curatorship · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversité du Québec à Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsThe artsArt marketArtSociologyVisual artsArt history

Abstract

fetched live from OpenAlex

This article examines the Espace Riopelle at the Musée national des beaux-arts du Québec as case of a ‘cultural market organization’. Anchored within a public museum but significantly funded by patrons, this conceptual and architectural project raises questions about its strategic objectives and its alignment with broader museological and societal goals. By analyzing the nature of the architectural project and the strategic relationships it highlights, the study explores how such initiatives navigate the intersection of public funding, private patronage and cultural stewardship. It questions the project's impact on museology, art and the public interest, as the case studied is set in the context of a state museum partly funded by citizens. Themes explored in this article include the role of patronage in cultural institutions, particularly public institutions, the implications of managerial approaches on museum operations, and the strategic vision behind architectural projects in enhancing cultural and societal value.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.015
Scholarly communication0.0090.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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 routes3
Has abstractyes

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