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Record W4399823027 · doi:10.1515/9782760527003

Marcel Brisebois et le Musée d'art contemporain de Montréal (1985-2004)

2011· book· fr· W4399823027 on OpenAlexaboutno aff
Bernard Chassé, Laurent Lapierre

Bibliographic record

VenuePresses de l'Université du Québec eBooks · 2011
Typebook
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Marcel Brisebois, ancien directeur du Musée d’art contemporain de Montréal (MACM), a su faire face à la contestation et répondre avec franchise, parfois même avec un brin d’impertinence et de provocation, ce dont il ne se cache pas, à ceux et à celles qui ont dénoncé ses pratiques et ses choix de gestionnaire. Sa personnalité colorée, sa conception de l’art contemporain en général et tout particulièrement de l’art contemporain québécois et canadien, sa volonté acharnée de constituer une collection d’importance et d’ouvrir l’institution au plus large public possible, et enfin sa détermination à positionner le musée sur l’échiquier muséal international, en ont fait ce que le MACM est aujourd’hui : une institution vivante et prête à relever les défis muséologiques de demain. Considéré le plus souvent comme une figure de contestation, Marcel Brisebois a beaucoup fait parler de lui et dans les termes les plus divers. Mais comment voit-il son rôle de gestionnaire? Quelles doivent être les orientations présentes et futures du Musée d’art contemporain? Et Marcel Brisebois l’homme, l’intellectuel, qui est-il vraiment? D’où vient-il? Comment entrevoit-il son avenir? Toutes ces questions justifient la publication de ce livre sur le parcours exceptionnel de Marcel Brisebois et le Musée d’art contemporain de Montréal.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other
Teacher disagreement score0.065
Threshold uncertainty score0.471

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.007
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.002

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 head0.064
GPT teacher head0.206
Teacher spread0.142 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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