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Record W181056986 · doi:10.13140/2.1.3363.4080

Music education through innovation: The Concordia Laptop Orchestra as a model for transformational education

2014· article· en· W181056986 on OpenAlexaboutno aff
Eldad Tsabary

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLaptopAction researchContext (archaeology)ImprovisationPedagogyProcess (computing)CurriculumEngineeringSociologyMultimediaVisual artsComputer scienceArt

Abstract

fetched live from OpenAlex

The Concordia Laptop Orchestra (CLOrk) is an ensemble of 20-25 laptop performers, which operates in the framework of a university course in Live Digital Practices—an advanced undergraduate course for electroacoustic studies (EaSt) majors at Concordia University’s Music Department in Montreal. The curriculum is built around highly participatory planning, production, and realization of innovative interdisciplinary and networked laptop orchestra performances, which take place in professional, academic, and cyber settings. In its three years, CLOrk has collaborated with a symphonic orchestra, jazz and chamber ensembles, laptop orchestras, soloists, dancers, and VJs, among others. The innovativeness of CLOrk’s performances has encompassed artistic (new forms of creation, collaborative composition), sonic (sound design, space, aural perception), technological (tools, network), and social (listening culture, encounter, interaction, collaboration, audience) facets. These innovations constantly introduced new, and often unique, practical and philosophical challenges to the creative process, but also opportunities to apply innovative educational approaches. Due to its adaptability to quickly evolving processes, action research has served as a useful transformational inquiry method for supporting and developing a better understanding of CLOrk’s creative and educational evolution. Action research involves participants as co-researchers to promote a better understanding of a social process in the group most involved in it. It is structured in cycles of observation, critical reflection, and action designed to allow improving a process while studying it— metaphorically “designing the plane while flying it” [1]. In CLOrk’s context, the “plane” being designed is its body of performance work and its educational structure, while each performance functions as a research cycle. Qualitative data are collected from recorded (pre- and post-event) discussions, email communications among all stakeholders (students, teacher, and collaborators), and anonymous questionnaires regarding efficacy and emerging problems related to all aspects of the performance’s planning and realization. The structure of each performance and the roles of every student (creative, technical, managerial) emerge democratically through this process of transformational inquiry. All data are coded, categorized, and analysed using responsive evaluation methods, considered through a process of critical reflection, and used to design further actions. While at times, this process may yield (social, artistic, technological) hierarchies related to the performances, the action research study remains open to equal impact from all participants, due to its openness to all emerging issues. This article provides context for the ongoing creative and educational research conducted with CLOrk and demonstrates this research’s process through an account of CLOrk’s telematic performance with the McMaster Cybernetic Orchestra as part of the Musicacoustica 2013 festival at the Beijing Conservatory [2].

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)0.002
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 score0.034
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.020
Scholarly communication0.0140.005
Open science0.0020.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.294
Teacher spread0.256 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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