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Record W2344804993 · doi:10.1017/cbo9781316145074

The Cambridge Companion to Percussion

2016· book· en· W2344804993 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPercussionSymphonyMusicalVisual artsDrumRhythmArtGuitarPianoHistoryLiteratureAestheticsAcousticsArt history

Abstract

fetched live from OpenAlex

Percussion music is both the oldest and most recent of musical genres and exists in diverse forms throughout the world. This Companion explores percussion and rhythm from the perspectives of performers, composers, conductors, instrument builders, scholars, and cognitive scientists. Topics covered include percussion in symphony orchestras from the nineteenth century to today and the development of percussion instruments in chapters on the marimba revolution, the percussion industry, drum machines, and the effect of acoustics. Chapters also investigate drum set playing and the influences of world music on Western percussion, and outline the roles of percussionists as composers, conductors, soloists, chamber musicians, and theatrical performers. Developments in scientific research are explored in chapters on the perception of sound and the evolution of musical rhythm. This book will be a valuable resource for students, percussionists, and all those who want a deeper understanding of percussion music and rhythm.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1900.088

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 head0.025
GPT teacher head0.183
Teacher spread0.158 · 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

Citations75
Published2016
Admission routes1
Has abstractyes

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