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Record W2161802767 · doi:10.1162/leon_a_00034

<i>Auditory Tactics:</i> A Sound Installation in Public Space Using Beamforming Technology

2010· article· en· W2161802767 on OpenAlex
Philippe-Aubert Gauthier, Philippe Pasquier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeonardo · 2010
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsSimon Fraser UniversityUniversité de Sherbrooke
Fundersnot available
KeywordsSound (geography)BeamformingActive listeningSpace (punctuation)Computer scienceShadow (psychology)AcousticsNoveltyProjection (relational algebra)Public spaceHuman–computer interactionEngineeringSociologyPsychologyTelecommunicationsCommunicationArchitectural engineeringPhysics

Abstract

fetched live from OpenAlex

The term “auditory tactics” refers to the contextual listening attitudes and competencies adapted to various private and public auditory contexts, spheres and aural architectures. Auditory Tactics, created for the Pure-Data Convention 2007 in Montréal, is a spatial sound installation designed to interfere and play with the auditory tactics of passersby in a public space by projecting sounds from more private spheres. The novelty of the authors' work is the use of beamforming: a sound projection technology that allows the creation of directional sonic beams resulting in sonic illumination and shadow zones that dynamically interact with architectural surfaces. The authors report the results and lessons of this first artistic experiment with sound beams as a creative sound-projection method.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.998

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)0.0030.000

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 head0.056
GPT teacher head0.347
Teacher spread0.291 · 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