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Record W5935468 · doi:10.2214/ajr.96.4.1035

Mythologies: Three Tableaux for Flute, Harp, Strings and Percussion

2012· article· en· W5935468 on OpenAlexaff
Alice J. Hansen

Bibliographic record

VenueThe American journal of roentgenology, radium therapy, and nuclear medicine · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsFlutePercussionHARPCommunicationArtPsychologyPhysicsAcousticsArt history

Abstract

fetched live from OpenAlex

Mythologies: Three Tableaux for Flute, Harp, Strings and Percussion is a c. 12-minute composition that deals with the nature of ambience in music. Compositional procedures used in each tableau attempt to highlight acoustic and atmospheric idiosyncrasies within the instrumental ensemble. The first tableau is based on two melodic and harmonic motives which are systematically expanded through repetition and variation. The second tableau features a call and response between flute and harp in a dreamy and lyrical interlude. The third tableau develops material through a process of shifting harmonic and rhythmic textures to create a mosaic of ambient colour. Each tableau is named after one of the three original muses in Greek mythology: Meletē (Practice), Aiodē (Song) and Mnēmē (Memory).

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0060.009
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0150.003

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 head0.111
GPT teacher head0.260
Teacher spread0.149 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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