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Record W1508538217

Architecture by Design: Exhibiting Architecture Architecturally

2012· article· en· W1508538217 on OpenAlexaffvenueabout
Jennifer Carter

Bibliographic record

VenueMediaTropes · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsExhibitionMateriality (auditing)ArchitecturePerformative utteranceVisual artsAestheticsNarrativeMeaning (existential)Experiential learningRepresentation (politics)SociologyArtEpistemologyLiteraturePoliticsPhilosophyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Drawing on a series of exhibitions curated and installed at the Canadian Centre for Architecture in Montreal throughout the 1990s and the early millennium, this essay analyzes how architecture and its representation in museological exhibitions have innovated forms of communication and display practices, transcending the traditions established by the fine arts paradigm since the late eighteenth century. The author argues that in addition to providing a heightened recognition of the narrative and performative potential of the exhibitionary setting, the discourses and tensions specific to architecture and architectural practice have led to a rethinking of the communicative potential of the exhibition environment. Principles inherent to architecture—spatiality, materiality, and the experiential—are fruitful when considering the possibilities of exhibition design to elucidate multiple levels of meaning, and these principles have led to architecture’s coming-of-age in the museological environment in ways that are specific to re aedificatoria—the art of building itself.

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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.031
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.232
Teacher spread0.207 · 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
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
Published2012
Admission routes3
Has abstractyes

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