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Record W4245867102 · doi:10.5040/9780755603954

Exploring Site-Specific Art

2010· book· en· W4245867102 on OpenAlexaboutno aff
Judith Rugg

Bibliographic record

VenueI.B. Tauris & Co Ltd eBooks · 2010
Typebook
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)ConsciousnessThe artsDiversity (politics)Identity (music)UrbanizationGeographyVisual artsSociologyHistoryAestheticsArtAnthropologyPsychology

Abstract

fetched live from OpenAlex

Over recent years, a greater diversity of spaces has opened up worldwide for the making and display of art beyond the gallery. A new 'space consciousness' has developed, with an emphasis on the significance of the spatial. Judith Rugg takes up a range of site-specific artworks internationally located in countries ranging from China to France, Italy and the UK, Argentina and Canada to Australia, Poland and the Netherlands to explore the relationships between site-specific art and space set within its globalising contexts. Through close inspection of works such artists as Doris Salcedo, Langlands and Bell, Phyllida Barlow and Vong Phaophanit, Rugg considers how an interdisciplinary spatial theory can inform many elements of contemporary art. In clear, illustrated chapters, she engages with very contemporary spatial issues, including those of the environment, cultural identity and belonging, as well as experiences of displacement, migration and marginalisation and the effects of urbanization and tourism. For students and practitioners of fine arts, art theory and history, as well as those who are fascinated by site-specific art, this is an original and challenging exploration.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.004

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 head0.263
GPT teacher head0.238
Teacher spread0.025 · 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 designTheoretical or conceptual
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

Citations9
Published2010
Admission routes1
Has abstractyes

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