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Record W4384823656 · doi:10.1080/07494467.2023.2225887

Navigating Technological Obsolescence: Analysis and Reconstruction of Stockhausen’s <i>Mikrophonie I</i>

2023· article· en· W4384823656 on OpenAlexafffund
Timothy P. Roth

Bibliographic record

VenueContemporary Music Review · 2023
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsObsolescenceElectroacoustic musicProcess (computing)Computer sciencePerforming artsRealisationSoftware engineeringEngineeringVisual artsArt

Abstract

fetched live from OpenAlex

This article outlines analytical methods for preparing and interpreting Karlheinz Stockhausen’s sextet Mikrophonie I (1964) for tam-tam and electronics. Would-be performers of this work face significant accessibility issues: Stockhausen’s recommended equipment—especially the electronic filter used to process the tam-tam’s sound—is extremely rare. These issues often necessitate performers finding alternative solutions for equipment. Mikrophonie I is one of several works for live electronics that have become increasingly difficult to program, due to the obsolescence of the technology required to perform them. Performers often reconstruct the necessary electronics digitally, using software such as Max/MSP. Wetzel [(2006). “A Model for the Conservation of Interactive Electroacoustic Repertoire: Analysis, Reconstruction, and Performance in the Face of Technological Obsolescence.” Organised Sound 11 (3): 273–284. https://doi.org/10.1017/S1355771806001555] describes a three-stage model for this reconstructive process that foregrounds the need for performer-led analysis. Using Mikrophonie I as a case study, I expand on Wetzel’s model to navigate the reconstruction through two main analytical perspectives: the prioritisation of sound or process. These methods are then applied to my realisation process of Mikrophonie I. I describe the process of constructing a digital filter in Max/MSP based on a patch created by Christopher Burns [(2002). “Realizing Lucier and Stockhausen: Case Studies in the Performance Practice of Electroacoustic Music.” Journal of New Music Research 31 (1): 59–68. https://doi.org/10.1076/jnmr.31.1.59.8104] and compare different interface options for using the filter in performance. Referring to previous recordings by the Stockhausen Ensemble (1965) and the percussion ensemble red fish blue fish (2014), I show how creative interpretations can help ensembles overcome the perceived shortcomings of their available tam-tam. Beyond the specifics of reconstructing the technology required for performing Mikrophonie I, this article underlines the indispensability of analysis for performers who specialise in works with obsolescent technology.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
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 head0.051
GPT teacher head0.292
Teacher spread0.241 · 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 designOther design
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

Citations0
Published2023
Admission routes2
Has abstractyes

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