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Record W2016238244 · doi:10.1525/mp.2004.22.2.297

Influences of Large-Scale Form on Continuous Ratings in Response to a Contemporary Piece in a Live Concert Setting

2004· article· en· W2016238244 on OpenAlex

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

VenueMusic Perception An Interdisciplinary Journal · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in Music Media and Technology
Fundersnot available
KeywordsDynamics (music)MusicalActive listeningRepetition (rhetorical device)Scale (ratio)Context (archaeology)PsychologyPresentation (obstetrics)Cognitive psychologyVisual artsCommunicationArtLinguisticsHistoryCartographyGeography

Abstract

fetched live from OpenAlex

Listeners responded continuously at the world and North American premiere concerts of The Angel of Death by Roger Reynolds using one of two rating scales: familiarity or resemblance of musical materials within the piece and emotional force. Two versions of the piece were tested in each concert in different presentation orders. Functional data analysis revealed the influence of large-scale musical form and context on recognition processes and emotional reactions during ongoing listening. The instantaneous resemblance to materials already heard up to that point in the piece demonstrates strong relations to the sectional structure of the music and suggests different memory dynamics for different kinds of musical structures. Emotional force ratings revealed the impact of computer-processed sounds and a diminution in emotional force with repetition of materials. Response profiles and global preferences across the two versions are discussed in terms of the multifaceted temporal shape of musical experience.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.353
Teacher spread0.310 · 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