Bibliographic record
Abstract
The classification of different styles of North American popular music has often been problematic. This paper investigates some of the music referred to as rhythm and blues (r & b) in the late 1940s and early 1950s by specifically looking at the works of one of the music's leading practitioners of the time, Roy Brown. Brown recorded both jump and club blues between 1947 and 1955, placing fifteen records in the Top 20 of the Billboard rhythm and blues charts. For the purposes of this paper fifty-four of the seventy-four songs that Brown recorded in this period were analyzed with respect to structure, performing force, performance style, tempo, arrangement, bass lines, approach to the beat, rate of singing, vocal ornamentation, and lyric content and structure. Three main subdivisions were found within Brown's repertoire, all connected to social behaviour, namely, dance. In the process, a basic biography of Brown is provided and his influence on many subsequent rhythm and blues and rock and roll performers is contextualized.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 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 teacher head, 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".