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Record W1560270388 · doi:10.1446/23269

Arte pubblica e aree urbane: il caso di Barcellona, Montreal, Sydney

2006· article· it· W1560270388 on OpenAlexaboutno aff
Giorgio Tavano Blessi, Laura Arborghetti

Bibliographic record

VenueEconomia della Cultura · 2006
Typearticle
Languageit
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsPublic artPublic spaceCohesion (chemistry)PerceptionSocial representationRepresentation (politics)Public parkPopulationUrban planningSociologyPolitical scienceGeographySocial sciencePsychologyPoliticsCivil engineeringArtVisual artsEnvironmental planningEngineering

Abstract

fetched live from OpenAlex

Public art will be described as any kind of artistic activity taking place in a public space that is motivated, designed, implemented and perceived in terms of its public nature. Starting from the 1960's western cities have adopted specific strategy of public art dealing with physical urban transformation. The use of this instrument is seen as stimulating the disposition to learn and reflect of the local community, fostering the social cohesion among and/or across groups, renovating the social fabric providing the community with a powerful means of self-representation and awareness. This paper presents three different case studies, Barcelona, Montreal,Sydney in which public art policies are associated to cultural-led urban renewal projects. Thus promoted by events as for Universal Expo, Olympics. By the examples illustrated will be possible to underline the role of culture in public urban areas, not only aesthetic, but providing also economic and social output, not only celebrative, but challenging the population to a new vision, perception and use of the urban environment.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.001

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 head0.023
GPT teacher head0.232
Teacher spread0.208 · 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 designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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