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Record W2159729549 · doi:10.1162/comj_a_00283

Designing Musical Instruments for the Browser

2015· article· en· W2159729549 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

VenueComputer Music Journal · 2015
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsYork University
Fundersnot available
KeywordsComputer scienceJavaScriptInterface (matter)World Wide WebWeb browserUser interfaceMIDIWeb applicationMusicalMultimediaHuman–computer interactionThe InternetOperating system

Abstract

fetched live from OpenAlex

Native Web technologies provide great potential for musical expression. We introduce two JavaScript libraries towards this end: Gibberish.js, providing heavily optimized audio DSP, and Interface.js, a GUI toolkit that works with mouse, touch, and motion events. Together they provide a complete system for defining musical instruments that can be used in both desktop and mobile Web browsers. Interface.js also enables control of remote synthesis applications via a server application that translates the socket protocol used by Web interfaces into both MIDI and OSC messages. We have incorporated these libraries into the creative coding environment Gibber, where we provide mapping abstractions that enable users to create digital musical instruments in as little as a single line of code. They can then be published to a central database, enabling new instruments to be created, distributed, and run entirely in the browser.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.074
GPT teacher head0.265
Teacher spread0.190 · 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