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Record W4223898547 · doi:10.1177/15366006221081883

The Development of Marching Band Traditions at Historically Black Colleges and Universities: The Human Jukebox versus the Sonic Boom of the South

2022· article· en· W4223898547 on OpenAlexaboutno aff
Claire Milburn

Bibliographic record

VenueJournal of Historical Research in Music Education · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsRivalryQuarter (Canadian coin)SociologyBoomCompetition (biology)Media studiesHistorically black colleges and universitiesVisual artsHistoryArt historyArtEngineeringAnthropologyAfrican americanArchaeology

Abstract

fetched live from OpenAlex

This study investigated the development of marching band traditions at Historically Black Colleges and Universities (HBCUs), as told through the rivalry between Southern University (SU) and Jackson State University (JSU). I interviewed directors from SU, including Lawrence Jackson, Nathan Haymer, and Kedric Taylor. Directors from JSU included Dowell Taylor, Lewis Liddell, and Lowell Hollinger. Paul Adams directed at both schools, David Ware is an HBCU bands researcher, and Julian White directed at Florida A&M University (FAMU). I found traditions established through the intense rivalry between SU and JSU. Interviewees agree that a desire to outplay and outperform the other band is a major factor. This study highlights similarities between HBCU bands and New Orleans-style “second line” brass bands, which were historically driven by a competitive edge. Narrations revealed combinations of happenstance and careful planning that birthed traditions such as the famed pre-game “zero quarter” and post-game “fifth quarter” rituals that are now commonplace at HBCU football games. Directors discussed how these traditions changed with improved video sharing. Fans now demand more music, more shock factor, and flawlessness. This competitive environment forged unique traditions which can inform modern music educators about the important and complex role of competition in performance.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.197
GPT teacher head0.331
Teacher spread0.135 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

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