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The Political Economy of Museums

2025· reference-entry· en· W4412418856 on OpenAlex
Camille-Mary Sharp

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOxford Research Encyclopedia of Communication · 2025
Typereference-entry
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsWestern University
Fundersnot available
KeywordsPoliticsEconomyPolitical sciencePolitical economyEconomics

Abstract

fetched live from OpenAlex

Abstract Studying the political economy of museums is an interdisciplinary endeavor that calls for the bridging of critical museum studies with communication and media studies. A first step toward tracing the power dynamics of museums, including their relations to governmentality, philanthrocapitalism, neoliberalism, and labor, is to understand the colonial nature of the museum and critiques of its universality. In addition, histories of patronage, philanthropy, and corporate sponsorship illuminate ways that museums contribute to and benefit from unregulated accumulations of capital. Since the 1970s, institutional shifts informed by neoliberalization have led to the gradual commercialization of museums, as seen in their mirroring of business practices, including branding and global franchising. In the 21st century, unionizing efforts in American museums also offer an opportunity to examine museums’ historical consideration of workers and to connect the study of cultural work to changing professional perceptions within museum studies.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.550
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.097
GPT teacher head0.401
Teacher spread0.304 · 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