MétaCan
Menu
Back to cohort
Record W4252198223 · doi:10.32920/ryerson.14646927

An architecture of imagery

2021· preprint· en· W4252198223 on OpenAlexaff
Anna F. Pavia

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsParallelsRealmArchitecturePerceptionRepresentation (politics)Context (archaeology)EmotiveImage schemaComputer scienceAestheticsCognitive scienceSociologyHistoryVisual artsPsychologyArtEngineeringCognitionPolitical science

Abstract

fetched live from OpenAlex

The development of ocularcentric culture can be traced through the modes and history of representation. The omnipotence of form and a visual aesthetic within contemporary architecture parallels this notion of visual primacy. The role of imagery within contemporary design practice is twofold: it is both a tool for investigating spatial realities and the product of a systematic design process. Emotive spaces are created when perceptual phenomena are in the vanguard rather than the aftermath of constructed objects. Through the reconsideration of image, as a multi-dimensional design tool, the spatial realities of the built context are investigated. Within film and contemporary media, architectural imagery combines with the temporal realm to enrich user perceptions of the built environment. The restoration of architecture as a communicative medium is facilitated by restructuring its current model from a formal object generated by a system of abstract geometries into a perceptual model.

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)0.002
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 score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.018
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.027
GPT teacher head0.233
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicArchitecture and Art History StudiesFrench-language works237,207