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Record W3037909505

Projective architecture: an approach to building an immersive Art Centre for Sudbury, Ontario

2019· dissertation· en· W3037909505 on OpenAlexaboutno aff
Anastasia Renaud

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureArtVisual artsProjective testComputer graphics (images)Computer sciencePsychology
DOInot available

Abstract

fetched live from OpenAlex

This research explores the design for an art centre in Sudbury, Ontario in which the architecture
\nis not only activated or animated by its community but also inspires its community to be more active
\nwithin the city’s culture. Drawing upon the concept of Projective Architecture as coined by Sarah
\nWhiting and Robert Somol, the proposed art centre would respond to and with its surrounding
\ncontext to focus on its effects on the social condition of the surrounding community.1
\n The proposed
\ninstitution would facilitate the community’s engagement by a layering of substrates, filters, light, film
\nand video projections, by an interactive exterior screen-like facade system, to reveal the movements
\nof the art centre and its art film-making residency program artists. This second-skin surrounding
\nthe abandoned General Hospital building in Sudbury would facilitate views to the landscape beyond
\nconnecting the visitors with the surrounding Northern city through an unusual and interesting lens.
\nFilm and video art, haptic diagramming, conceptual object making and immersive installation art all
\nserved in the research-creation process to determine the aesthetics and ideologies of the proposed
\nart centre. Focused on an active reciprocal engagement between the community and emerging arts
\nartists, the centre seeks to breed new genres of Northern Ontario art.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.209
Teacher spread0.194 · 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 designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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