MétaCan
Menu
Back to cohort
Record W86076877

Selected sounds : a collective investigation into the practice of sample-based music

2007· dissertation· en· W86076877 on OpenAlexaboutno aff
Owen Chapman

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2007
Typedissertation
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsSample (material)EthnographyMusicalSound (geography)Digital audioVisual artsComputer scienceMultimediaArtSociologyAudio signalSpeech recognitionAcoustics
DOInot available

Abstract

fetched live from OpenAlex

Selected Sounds involves an ethnographic investigation into the sampling and mixing practices of a group of sound artists from Montreal, Canada. Seven composers (in one case, a composing duo) each contributed a single piece of digitized sound to the project. Each was free to submit any sound they liked, with the one requirement that all samples be selected from sources discovered around Montreal. After collecting the audio files, I placed them together on a CD, copies of which were distributed to every participant. Each composer then put together a track drawing on this sample-pool exclusively for source material. The resulting mixes have been compiled into a nationally distributed, independent audio-CD. All were interviewed regarding the evolution of their knowledge of digital audio production methods, as well as their thoughts on audio sampling. In Chapter 1 (the Introduction) I present the research project and outline the theoretical framework as well as challenges addressed. In Chapter 2, I discuss various methodological choices made in Selected Sounds as a reflexive ethnography that invokes sample-based musical practices of citation, friendship and creative production as mechanisms for highly-engaged research in the arts, humanities and social sciences. Chapter 3 presents a literature review of recent academic accounts of audio sampling and the impacts of digital technology upon the contemporary reception and use of media. Chapter 4 introduces Appendix A-an interactive database developed from out of the Selected Sounds interview process. Chapter 5 concludes by taking up conversations contained in Appendix A and organizing them around seven different reconfigurations of the concept "sampling" for 2007: sampling-as-technology, sampling-as-community, samplingas-memory, sampling-as-collecting, sampling-as-ethics, and sampling-as-recording. Appendix A is the Selected Sounds interview database. Appendix B contains a brief introduction to "The Lesbians on Ecstasy," a musical performing group of which three of the participants in Selected Sounds are members. Appendix C is a transcript of the final meeting with the Selected Sounds research group

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)0.018
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.005
Science and technology studies0.0200.030
Scholarly communication0.0090.005
Open science0.0040.011
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.081
GPT teacher head0.290
Teacher spread0.209 · 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 designQualitative
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

Citations11
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueSpectrum Research Repository (Concordia University)Same topicDiverse Musicological StudiesFrench-language works237,207