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Record W1532133811

Museums After Modernism : Strategies of Engagement

2007· book· en· W1532133811 on OpenAlexaboutno aff
Griselda Pollock, Joyce Zemans

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionArt historyFraming (construction)ArtPerformance artPollockModernism (music)Cognitive reframingMedia studiesMirroringVisual artsSociologyHistory
DOInot available

Abstract

fetched live from OpenAlex

List of Figures. Notes on Contributors. Series Editor's Preface. Preface. 1. Un-Framing the Modern: Critical Space/Public Possibility (Griselda Pollock, University of Leeds). 2. Women's Rembrandt (Mieke Bal, University of Amsterdam). 3. Museums and the Native Voice (Gerald McMaster, Art Gallery of Ontario). 4. Exhibiting Africa after Modernism: Globalization, Pluralism, and Persistent Paradigms of Art and Artifact (Ruth B. Phillips, Carleton University). 5. Mirroring Evil, Evil Mirrored: Timing, Trauma, and Temporary Exhibitions (Reesa Greenberg, independent scholar and museum consultant). 6. A Place for Uncertainty: Towards a New Kind of Museum (Vera Frenkel, artist). 7. The Ballad of Kastriot Rexhepi: Notes on Gesture, Medium, and Mediation (Mary Kelly, University of California, Los Angeles). 8. Riksutstallningar: Swedish Traveling Exhibitions (Ulla Arnell, Curator and Project Manager at Riksutstallningar). 9. Reframing Participation in the Museum: A Syncopated Discussion (Janna Graham, PhD, University of London and Shadya Yasin, student, York University, Toronto). 10. There Is No Such Thing as a Visitor (Judith Mastai, d. 2001). 11. Anxious Dust: History and Repression in the Archives of Mary Kelly (Judith Mastai, d. 2001). 12. On Discourse as Monument: Institutional Spaces and Feminist Problematics (Juli Carson, University of California, Irvine). Bibliography. Index.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.925
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0620.000

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 head0.058
GPT teacher head0.244
Teacher spread0.186 · 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 teacher head, not a consensus.

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

Citations23
Published2007
Admission routes1
Has abstractyes

Explore more

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