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Record W4249947048 · doi:10.32920/ryerson.14665587

Sound, Shape, Space : The Ontology of Space in Architecture

2021· preprint· en· W4249947048 on OpenAlexaff
Sean W. Robbins

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArchitectureSpace (punctuation)Sound (geography)OntologyCriticismArchitectural engineeringWork (physics)Process (computing)Computer scienceAestheticsEpistemologySociologyEngineeringPhilosophyAcousticsVisual artsArtLiteraturePhysicsMechanical engineering

Abstract

fetched live from OpenAlex

This work embarks on a radically different understanding of space that sheds its preconceived physical attributes. Borne from a criticism of the imbalanced approach to architectural design, which focuses on ‘form’, the aim is to redeem ‘space’ as the inextricably linked partner of form in the design process. Herein, space is re-framed in an ontological manner as it relates to architecture, that is, as having to do with ‘being’. To accomplish this, sound becomes pivotal, constituting a catalyst in the reaction with form that brings ontological space to life within architecture. By using sound in reaction with form, the work will engage in the design of space in the ontological sense; as it relates to being, namely, that of human social practice. At its heart, this work is not really about sound or space, nor even architecture for that matter. It is about the way in which humans exist.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.027
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.037
GPT teacher head0.266
Teacher spread0.229 · 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

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