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Record W1490387028

Sound created form exploring the influence of sound on architectural form and the aural quality of spaces it can create

2009· article· en· W1490387028 on OpenAlexaffvenueabout
Ben Gaum, Ramani Ramakrishnan

Bibliographic record

VenueCanadian acoustics · 2009
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSchematicSound (geography)Architectural engineeringPlan (archaeology)JazzQuality (philosophy)Center (category theory)Architectural designRepresentation (politics)Control (management)EngineeringComputer scienceVisual artsAcousticsArchitectureArtHistoryArtificial intelligenceElectrical engineeringArchaeology
DOInot available

Abstract

fetched live from OpenAlex

A team of researchers undertook a thesis design project to explore the influence of sound on architectural form and the aural quality of spaces created by it. The researchers explored these parameters by designing a new 'Maison du Festival' that acted as the main welcome center, archive, museum, and operations center for the Montreal Jazz Festival in the future. The original schematic design of the building required two 'ampitheatred' sections of the plan that allowed for performances on the festivals two main stages to be projected on the building itself. This allowed the festival organizers to be able to better contain and control the sound being projected from the stages. The overall form of the building was mainly derived from taking various wave file recordings of the streets surrounding the proposed and converting those files into a three dimensional representation.

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)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.078
GPT teacher head0.367
Teacher spread0.289 · 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
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
Published2009
Admission routes3
Has abstractyes

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