Behind the Bandstand: Jay G. Sims and the Internal Workings of the Sousa Band
Bibliographic record
Abstract
From 1919 to 1932 trombonist, Jay G. Sims, served as the personnel manager for the Sousa Band. The Harry Ransom Center at University of Texas at Austin holds Sim's business correspondences which divulge his crucial role in the band’s operations, shedding light on his contributions to the band's success as a touring group. Notwithstanding so, there is relatively little information about him in the existing scholarship on John Philip Sousa and the Sousa Band. This paper explores Sims’ position as personnel manager for the Sousa Band through an examination of his correspondences. There is particular focus on his day-to-day functions, including his input on hiring decisions and recruitment of members, as well as purchasing of equipment for the band’s performances. Furthermore, Sims’ correspondence offers a rare, behind-the-scenes glimpse of the Sousa Band, one of the most famous touring musical groups of the early-twentieth century. By using Sims’ own documents as a primary source, it is possible through letters and invoices, not only to determine the exact nature of Sims’ role within the Sousa Band, but also how his administrative position impacted the band’s operations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".