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Record W3210726206 · doi:10.82308/17421

A consort of gestural musical controllers : design, construction, and performance

2008· article· en· W3210726206 on OpenAlexaboutno aff
Joseph Malloch

Bibliographic record

VenueeScholarship@McGill (McGill) · 2008
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalComputer scienceSpeech recognitionEngineeringCommunicationVisual artsPsychologyArt

Abstract

fetched live from OpenAlex

This thesis project presents the T-Sticks, a new family of digital musical instruments (DMIs). Most DMIs are either entirely unique interfaces, or exist as design iterations in which each incarnation is intended to improve on the last. The T-Sticks are instead intended to form a complementary group or consort which may be performed ensemble and also performed individually in solo pieces or works for mixed instrumentation. Each of the T-Sticks is based on the same general structure and sensing platform, but each also differs from its siblings in size, weight, timbre and register. This document explores some of the issues challenging and motivating the field of DMI design and performance, and describes the motivations behind the T-Stick project in this context. Several existing DMIs are examined for similarities to the T-Stick and compared in terms of design intention, implementation, and usage. The hardware and software designed and built for this project is presented, along with insights gained through collaboration with performers and composers in the context of McGill University's Digital Orchestra project. The performers in question have collectively practiced and performed with the T-Stick for hundreds of hours in the lab, practice room, and on the concert stage. The consort of T-Sticks will be featured as an ensemble in a piece to be performed during the 2008 MusiMarch festival in Montreal.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.989

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.205
Teacher spread0.181 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations13
Published2008
Admission routes1
Has abstractyes

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