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Record W4200552697 · doi:10.32920/16814683.v1

On An Invisible Architecture: An Antidote To Ocularcentric Space

2021· preprint· en· W4200552697 on OpenAlexaffabout
Christian J. Iannantuono

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArchitecturePerceptionSpace (punctuation)Object (grammar)AestheticsContext (archaeology)AlienationVariety (cybernetics)UrbanityMeaning (existential)CommunicationArtSociologyVisual artsGeographyEpistemologyLinguisticsComputer sciencePhilosophyArtificial intelligenceEngineeringPolitical science

Abstract

fetched live from OpenAlex

<div>Invisible; something that is unseen, unnoticed, or ignored. Related to the awareness or recognition of an object as opposed to its actual presence, the problem with the invisible is the unknowingness of its very existence. While our bodies occupy diverse spatial conditions, they absorb a variety of visible and invisible information through the senses. As the geography of our increasingly digitized urban landscape creates conditions of solitude and alienation, the other senses become suppressed, manifested through our obsession with the eye, vision, and image. Identifying the non-place and its effect on inhabitants will serve as a point of departure in exploring the potentials for an architecture to become invisible — that is, for a space to exist beyond our infatuation with its aesthetic or visual character. Designing an atlas for the senses between the urban and natural context of Toronto and its ravines, this thesis aims to reintroduce architectural meaning through the body’s sensorial apparatus. In progressing beyond our current</div><div>ocularcentric state, we can use the senses as perceptual mechanisms to begin a dialogue addressing the non-place-ness of urbanity. In doing so, architecture becomes more relatable, engendering new spatial, perceptual, and emotional relationships within the memory of space.</div>

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.219
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 teacher head, not a consensus.

Study designSimulation or modeling
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 routes2
Has abstractyes

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