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Record W2109233160 · doi:10.5072/zenodo.205731

Different strokes: a prototype software system for laptop performance and improvisation

2006· article· en· W2109233160 on OpenAlex
Mark Zadel, Gary Scavone

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

VenueNew Interfaces for Musical Expression · 2006
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsLaptopComputer scienceInterface (matter)ImprovisationSoftwareHuman–computer interactionGraphical user interfaceUser interfaceMultimediaOperating system

Abstract

fetched live from OpenAlex

This paper presents progress in the design of a new software interface for laptop performance and improvisation. These performances can lack a sense of active creation, as well as a visual connection between the performer's actions and the audio output. This stems partly from certain patterns in laptop performance in which musicians resort to heavy automation to cope with performing complex compositions. The software presented here attempts to address this by requiring that the user create all of the control sequences on-stage. The user defines graphical control patterns that are mapped to sample playback. The current prototype resembles a freehand drawing interface where the strokes create looping and cascading animations that generate corresponding audio, ultimately creating music. This style of interface minimizes the use of prepared material and takes advantage of the computer's unique capabilities.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.454

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.234
Teacher spread0.221 · 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