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Record W1973770488 · doi:10.1017/s1355771809000120

<i>The Icebreaker</i>: Soundscape works as everyday sound art

2009· article· en· W1973770488 on OpenAlex

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.

Bibliographic record

VenueOrganised Sound · 2009
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsSoundscapeSound (geography)Sound artNoticeMusicalVariety (cybernetics)AcousticsJohn CageFocus (optics)Visual artsComputer scienceAestheticsArtPerformance artLaw

Abstract

fetched live from OpenAlex

The following discusses the potential of soundscape work to reveal new aspects of our everyday aural environments. Openness to the voice(s) of one’s sonic surroundings is maintained as a hallmark of soundscape works, and also a key component of sound art more generally. Different perspectives and questions are articulated, with a consistent focus on the variety of spaces engaged by both sound(scape) artists and listeners. A case study is presented – a recently initiated sound art project on the part of the author entitled The Icebreaker . The latter is a musical instrument, performance piece and interactive installation made from piezo microphones and ice. Prepared compositions, including soundscape works, are diffused at different moments when one ‘plays’ The Icebreaker . I describe this emergent work as an example of the sort of considerations and negotiations that are at the heart of soundscape/sound art composition. My aim is to demonstrate how sound artworks bring us to attend to sounds we formerly failed to notice, revealing our own reactions to these stimuli at the same time.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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