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Record W760808722

FROM CONTROLLER TO SOUND: TOOLS FOR COLLABORATIVE DEVELOPMENT OF DIGITAL MUSICAL INSTRUMENTS

2007· article· en· W760808722 on OpenAlex
Joseph Malloch, Stephen Sinclair, Marcelo M. Wanderley

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of the Abraham Lincoln Association · 2007
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Council for the Arts
KeywordsComputer scienceController (irrigation)Graphical user interfaceSound (geography)Development (topology)Musical instrumentMusicalInterface (matter)Human–computer interactionUser interfaceDigital audioControl (management)Peer-to-peerMultimediaWorld Wide WebDigital signal processingAudio signalComputer hardwareOperating system
DOInot available

Abstract

fetched live from OpenAlex

This paper describes the design and implementation of a system for collaborative development of a digital musical instrument mapping layer.System development included the design of a decentralized network for the management of peer-to-peer data connections using Open Sound Control.A graphical user interface for dynamically creating, modifying, and destroying mappings between control data streams and synthesis parameters is presented.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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