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The Collaborative Role of the Technician in ...sofferte onde serene...

2014· article· en· W2267408729 on OpenAlex
Darren Miller

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

VenueRevista Vórtex · 2014
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMusicalContext (archaeology)Electronic musicScope (computer science)Period (music)SoundscapeSound (geography)Visual artsMusical compositionLinguisticsHistoryArtAcousticsComputer scienceAestheticsPhilosophyPhysics

Abstract

fetched live from OpenAlex

The music of the late 20th and early 21st centuries presents a challenge to traditional music theory through the adoption of a musical language containing sonic elements that previously fell outside the scope of accepted musical categories (primarily those of pitch and rhythm). Experiences gained by performing the electronics in a transitional work ("¦..sofferte onde serene...) by a pivotal figure (Luigi Nono) in this development are explored as a potential inspiration for new notational and analytical models of sound-based composition. Spectrograms and other technologically derived visualizations of sound are proposed as potential aids to both the performance and analysis of music from this period. The importance of .....sofferte onde serene... is emphasized not only in the context of these analytical developments, but also within the oeuvre of Nono as a whole, with its revolutionary shift towards pure sound as a primary compositional material.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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