MétaCan
Menu
Back to cohort
Record W2117666470 · doi:10.5072/zenodo.206807

Solar Sound Arts: Creating Instruments and Devices Powered by Photovoltaic Technologies

2011· article· en· W2117666470 on OpenAlexaff
Scott Smallwood

Bibliographic record

VenueNew Interfaces for Musical Expression · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSoundscapePhotovoltaic systemLoudspeakerThe artsProcess (computing)Computer scienceSound (geography)Architectural engineeringMusicalSystems engineeringEngineeringElectrical engineeringAcousticsVisual artsPhysics

Abstract

fetched live from OpenAlex

paper describes recent developments in the creation of sound-making instruments and devices powered by photovoltaic (PV) technologies. With the rise of more efficient PV products in diverse packages, the possibilities for creating solar-powered musical instruments, sound installations, and loudspeakers are becoming increasingly realizable. This paper surveys past and recent developments in this area, including several projects by the author, and demonstrates how the use of PV technologies can influence the creative process in unique ways. In addition, this paper discusses how solar sound arts can enhance the aesthetic direction taken by recent work in soundscape studies and acoustic ecology. Finally, this paper will point towards future directions and possibilities as PV technologies continue to evolve and improve in terms of performance, and become more affordable.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.106
GPT teacher head0.255
Teacher spread0.148 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueNew Interfaces for Musical ExpressionSame topicDiverse Musicological StudiesFrench-language works237,207