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Record W4243489572 · doi:10.1162/leon_a_00409

Soundspheres: Resonant Chamber

2012· article· en· W4243489572 on OpenAlexaff
Geoffrey Thün, Kathy Velikov, Colin Ripley, Lisa Sauvé, Wes McGee

Bibliographic record

VenueLeonardo · 2012
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEnvelope (radar)Context (archaeology)Electroacoustic musicSpace (punctuation)Computer scienceAcousticsArchitectural engineeringEngineeringPhysicsVisual artsArtTelecommunicationsGeographyArchaeology

Abstract

fetched live from OpenAlex

This paper develops a brief historical account of the architectural development of auditory space and identifies the “soundsphere” as an acoustic project that connects the interrelationships between material, spatial form and sound. The instrumental design of the soundsphere has focused on three types of shells: hard, static, and inflexible; physically manipulable; and immaterial (or electroacoustic). This frames a disciplinary and historical context for Resonant Chamber, a prototype-based design research project that develops a kinetic and interactive interior envelope system aimed at transforming the acoustic environment through dynamic spatial, material, and electroacoustic technologies.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.004

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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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 designNot applicable
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

Citations13
Published2012
Admission routes1
Has abstractyes

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