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Record W2916494089 · doi:10.70064/mt.v2i1.707

The Psychogeographies of Site-Specific Art

2018· article· en· W2916494089 on OpenAlexaffabout
Shana MacDonald

Bibliographic record

VenueMedia theory. · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCitizen journalismPublic artGeospatial analysisVisual artsPublic spaceStudioPlacemakingInscribed figureSociologyGeographyArchitectureArtUrban designCartographyArchitectural engineeringComputer scienceWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

Contemporary efforts at urban revitalization have encouraged an increased production of site-specific public art events that temporarily inhabit popular city hubs. These “pop up” interventions range from loosely assembled happenings to the more institutionally supported all-night art festivals like Nuit Blanche. This paper examines the types of geospatial memory produced and inscribed through small-scale, participatory, site-specific urban art events. It considers how this work participates in forms of placemaking which both enact provisional and iterative forms of assembly while also marking the psychogeographic remains of space. Taking up examples from SensoriuM lab (Montreal) and Mobile Art Studio (Kitchener), the paper suggests how public art may be used to elicit performance-based and participatory geospatial media that maps residents’ embodied and historied relationship to urban space.

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: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.991

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)0.0100.001

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 head0.022
GPT teacher head0.210
Teacher spread0.189 · 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
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
Published2018
Admission routes2
Has abstractyes

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