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Record W2952011570

Do curators need university curatorial programs?

2008· article· en· W2952011570 on OpenAlexaboutno aff
Gabrielle Moser

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionCraftAsideStudioPower (physics)PublishingVisual artsDiversification (marketing strategy)PaintingSociologyContemporary artPublic relationsMedia studiesArtPolitical scienceArt historyLawPerformance artLiteratureBusinessMarketing
DOInot available

Abstract

fetched live from OpenAlex

How possible is it to train curators when their work is not exclusively based on craft? WhUe defining what an artist does is always tricky, we can mosdy agree that artists create artworks: they produce objects or experiences that are in some way distinct from commodities produced in the mass market. Pinning down what a curator does, though, is more complicated. Aside from exhibitions and the occasional catalogue, there are few tangible finished products that result from a curator's practice. The type of activities that can be classified as "curatorial" are also increasingly diverse. Organizing and mounting exhibitions, writing and publishing critical essays, programming screenings and performances, coordinating fundraisers, conducting studio visits and even speaking in public about their work and lobbying for changes in cultural policy are now all considered within the purview of a curatorial position. The Power Plant's Helena Reckitt says this diversification results from the boom in public interest in contemporary art that has occurred worldwide over the past 2$ years, which has prompted many contemporary galleries to emphasize authence interaction and participation, and adopt Kunsthalle-style institutional models that do not have a perma- nent coUection. As the Power Plant's senior cu- rator of programs, Reckitt works on all aspects of the gaUery's programs: from developing ex- hibitions and artists' projects, to devising talks, education series, film screenings and perform- ances, and co-editing the gallery's new con- temporary art magazine. In her words, "It's a broad job description that reflects the diversity of skills demanded by curatorial work today."2 This uncertainty about what it is to practice as a curator is not only reflected in the profession- al curator's ever-expanding job description, but is also evident in the wide array of pedagogical tools used by Toronto's university programs to try and teach the profession of curation. Clement Greenberg's claims not only ignore the ways economic and social capital influence an arts worker's access to jobs in arts organizations, but they abo overlook the fact that access to education continues to be crucial to gaining any kind of access to the art world.11 Despite the obvious nearsightedness of Greenberg's claims, the notion that curators should play professional roles in museums and galleries as mediators between art and its public has stuck. In fact, in Toronto the notion of the curator as professional has had a renaissance over the past five years thanks to the adoption of Richard Florida's theories about the importance of the Creative Class' contribution to the city's economy. Not only have Florida's ideas been taken up in public discussions about the future of Toronto's cultural landscape, but they have also been explicitly cited in the City's Cultural Renaissance program. Adopted in 2003, this program provided financial support to eight major cultural construction projects, including now-completed renovations at the Royal Ontario Museum, the Art GaUery of Ontario and ocad.12 Although these buddings have architectural importance, political scientist Barbara Jenkins argues that they are "better understood as both participants in, and reflections of, contemporary patterns of global economic competition and the changing role of culture in capitalist production."13

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)0.010
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.346

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.054
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0170.008
Scholarly communication0.0190.024
Open science0.0030.012
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.1030.024

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 head0.164
GPT teacher head0.303
Teacher spread0.139 · 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 designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

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