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Record W2787010584 · doi:10.4000/iss.424

Advancing the Practice: A Report of the US National Curator’s Committee Ethics Subcommittee on the 2014 Curatorial Survey and Core Competencies Projects

2015· article· en· W2787010584 on OpenAlex

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

VenueICOFOM Study Series · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCore competencyEngineering ethicsCore (optical fiber)Political scienceSociologyMedical educationLibrary scienceEngineeringManagementMedicineComputer science

Abstract

fetched live from OpenAlex

Alternately reviled and revered, curators retain an iconic role at the heart of museum activities. But what have they to do with museology? Curators are the intellectual, authoritative center of a traditional model whose very foundations have been destabilized by economic, technological and social change. The role of the curator is challenged by the reductive, linear thinking that has accompanied the rise in computer technology (Doueihi, 2011; Marty, 2008), the dependence on attendance and popularity that now determines user-centric operations (Janes, 2009; Mairesse, 2005; Tobelem, 2010), and a general post-structuralist, anti-intellectual attitude (Bauman, 1987; Cameron, 2010; Mason, 2006). Are curators then the last bastion of old-guard Enlightenment intellectuals, or a stop-gap for the dissolution of culture in the face of radical egalitarianism in the Digital Age? To elucidate realities of the evolving role of curators and their relationship with museology, this paper will summarize and juxtapose two major projects of CurCom, the US National Curator’s Committee. In tandem, these projects – a survey of the education, experience and training needs of CurCom members, and the elaboration of Curators’ Core Competencies – illustrate the expanding and significant challenges, functions, and duties faced by US curators and the applied skills that they must all possess to be successful. Though museologists are not curators, many of the crucial questions that arise within the field are strongly related to curatorial activity. If museology is to be more than just irrelevant theory and more adequately address the theoretical and practical elements that have destabilized the traditional models (Gob & Drouguet, 2010), we must evolve how it contributes to its adherents and practitioners. When crucial museum issues rest at the heart of curatorial activity, and there is little intersection of curators with museology, what is the hope for evolving the museum? The summary of these national projects in this international forum is intended to invite comparison and provoke conversation.

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)0.065
metaresearch head score (Gemma)0.147
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0650.147
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.354
GPT teacher head0.529
Teacher spread0.175 · 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