Bibliographic record
Abstract
Reflections (In Mosaic) is a long-form work written for a modern jazz orchestra. While made up of seven smaller parts, it is intended to be listened to as a single continuous performance. Reflections (In Mosaic) serves as an exploration into formal structures more complex than the standard blues and cyclical AABA forms. This is achieved through the use of inter-related musical themes, transitional material that develops musical themes and propels the story of the piece forward, programmatic themes, and a consideration towards a more integrative approach to improvised sections in a modern jazz composition context. This exegesis features a comprehensive musical and topical analysis of four case studies: Duke Ellington’s Harlem (1951), Charles Mingus’s Fables of Faubus (1959), Gunther Schuller’s Seven Studies on Themes of Paul Klee (1959), and Pat Metheny and Lyle Mays’s The Way Up (2005). In my analysis I examine the features of long-form works from a range of different angles through discussions on: (1) the formal features of the symphonic jazz genre and the integration of concert-style gestures into the jazz big band tradition, (2) the role performance and improvisation can have in communicating an idea within a composed structure, (3) the use of programmatic themes, and (4) a model for a structural design which draws on comparisons to narrative structure. Of particular importance to my compositional project is the use of a programmatic theme. Reflections is directly inspired by the film Magnolia (1999), written and directed by Paul Thomas Anderson. I do not attempt to mirror the narrative or structure of the film in Reflections but, instead, loosely base the composition on the film’s characters and topical themes. The culmination of this exegesis is a discussion of how the four case studies informed my own compositional processes.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.014 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".