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Record W3004816235 · doi:10.4324/9780203383964

Museums and the Paradox of Change

2013· book· en· W3004816235 on OpenAlexaboutno aff
Robert R. Janes

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Museums throughout the world are under increasing pressure in the wake of the 2008/2009 economic recession and the many pressing social and environmental issues that are assuming priority. The major focus of concern in the global museum community is the sustainability of museums in light of these pressures, not to mention falling attendance and the challenges of the digital world. Museums and the Paradox of Change provides a detailed account of how a major Canadian museum suffered a 40 percent loss in its operating budget and went on to become the most financially self-sufficient of the ten largest museums in Canada. This book is the most detailed case study of its kind and is indispensable for students and practitioners alike. It is also the most incisive published account of organizational change within a museum, in part because it is honest, open and reflexive. Janes is the first to bring perspectives drawn from complexity science into the discussion of organizational change in museums and he introduces the key concepts of complexity, uncertainty, nonlinearity, emergence, chaos and paradox. This revised and expanded third edition also includes new writing on strengthening museum management, as well as reflections on new opportunities and hazards for museums. It concludes with six ethical responsibilities for museum leaders and managers to consider. Janes provides pragmatic solutions grounded in a theoretical context, and highlights important issues in the management of museums that cannot be ignored.

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 score0.815
Threshold uncertainty score0.981

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.000

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 head0.110
GPT teacher head0.208
Teacher spread0.098 · 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

Citations48
Published2013
Admission routes1
Has abstractyes

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