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Criteria for Analysis

2012· book-chapter· en· W2622492579 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

VenueOxford University Press eBooks · 2012
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsNotationPerspective (graphical)Stress (linguistics)Interpretation (philosophy)MusicalDuration (music)LinguisticsSkepticismMusic theoryEpistemologyMathematicsPhilosophyLiteratureArt

Abstract

fetched live from OpenAlex

Abstract This article focuses on Riemann's theories of rhythm and meter. It specifically aims to clarify the criteria that Riemann uses in justifying his metrical analyses by examining his theories from two general perspectives. The first perspective assumes that musical events are understood to receive their metrical interpretation—that is, which events are deemed metrically accented and which are metrically unaccented—according to the mechanics of notation associated with that theory, such as time signatures and bar lines. This perspective is termed notated meter. The second perspective assumes on the contrary that the musical events themselves can express their own metrical interpretation independent of the notation. That is, the interaction of certain musical parameters (such as duration, motivic contour, duration) can engender a sense of meter in a listener who is unaware of how the music may be actually notated. This perspective is termed expressed meter. While Riemann failed to realize the full potential of his own skepticism on the status of notation, his attempt to account for the origin of accent on the basis of musical content alone remains a significant achievement in the history of metrical theory.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.082
GPT teacher head0.236
Teacher spread0.154 · 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