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Record W4313026455 · doi:10.7202/1093114ar

Vers une modernisation de la gouvernance dans les musées nationaux : théories, pratiques et perspectives

2021· article· fr· W4313026455 on OpenAlexaffvenueabout
Annie-Claude Larocque

Bibliographic record

VenueMuséologies Les cahiers d études supérieures · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsCorporate governanceThe artsContext (archaeology)Political sciencePublic administrationModernization theoryIndependence (probability theory)MuseologySociologyHumanitiesManagementArtGeographyLawVisual arts

Abstract

fetched live from OpenAlex

On December 9, 2016, Luc Fortin, Minister of Culture and Communications, announced the adoption of Bill 114, whose goal is to “modernize the governance structure of Quebec’s national museums.” Thirty-three years after the passage of the National Museums Act establishing the Musée national des beaux-arts du Québec (MNBAQ), the Musée d’art contemporain de Montréal (MAC) and the Musée de la civilisation (MCQ) as national museums, the adoption of Bill 114 is an ideal time to examine the concept of governance in the museal context, as well as potential consequences for Quebec museology.While the question of governance has often been raised over the past few years in the field of both public and private administration in Quebec, its application in the domain of museology has long been delayed. Developed structurally and conceptually in the vast majority of the province’s museal network, which is to say that it refers, first and foremost, to a structure of functioning and a management mode, the notion of governance nonetheless generates even more questions about the articulation and comprehension of these principles in regards to their application. In particular, think of the regulations governing the composition of boards of directors, of the criteria for independence which members must observe, of the desired skills profiles, as well as the distribution of roles among the general management and the board of directors.This summary of a directed study submitted in August 2017, seeks to return to the major analyses that have answered this question: after the bill was passed, what organizational dynamics were observed within the MNBAQ, MAC and MCQ?

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.601

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0190.062
Scholarly communication0.0140.010
Open science0.0020.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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 designTheoretical or conceptual
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
Published2021
Admission routes3
Has abstractyes

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Same venueMuséologies Les cahiers d études supérieuresSame topicCultural Identity and HeritageFrench-language works237,207