Metrical Displacement and Group Interaction in ‘Evidence’ by the Thelonious Monk Quartet
Bibliographic record
Abstract
Abstract Jazz pianist Thelonious Monk is known for his rhythmically complex compositions and improvisations. His typical 32-bar AABA form pieces provide a framework of musical norms in terms of harmonic movement, and thus a point of reference for the harmonic rhythm to be displaced. ‘Evidence’ is exemplary of Monk’s displaced rhythms, which creates a sense of metrical shifts during the head arrangement. Composed c.1948 and a frequent piece of Monk’s performance repertoire into the 1970s, a transcription and analysis of the recording from Thelonious Monk Quartet Plus Two at the Blackhawk demonstrates a conflicting sense of metre between band members of the quartet. This chapter investigates how the musicians negotiated metrical discrepancies in the composed section and the saxophone solo in terms of group interaction. A mediation of time is demonstrated by a displaced metre in the drums and each musician’s performative response to the discrepancy by providing musical signals during the course of performance. Through analysis of this performance, the chapter examines the way in which the musicians arbitrated a decisive point of reference within a confounding performance of overturning the beat. This chapter contributes to understanding rhythm and metre through improvisatory processes, augmenting scholarship on jazz through its analysis of the temporal constituents of group interaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".