The Ballad Collectors of North America
Bibliographic record
Abstract
Much has been written about the songs gathered in North America in the first half of the 20th century. However, there is scant information on those individuals responsible for gathering these songs. The Ballad Collectors of North America: How Gathering Folksongs Transformed Academic Thought and American Identity fills this gap, documenting the efforts of those who transcribed and recorded North American folk songs. Both biographical and topical, this book chronicles not only the most influential of these “song catchers” but also examines the main schools of thought on the collection process, the leading proponents of those schools, and the projects that they shaped. Contributors also consider the role of technology—especially the phonograph—in the collection efforts. Chapters organized by region cover such areas as Appalachia, the West, and Canada, while others devoted to specialized topics from the cowboy tune and occupational song to the commercialization of folk music through song collections and anthologies. Ballad Collectors investigates the larger role of the ballad in the development of American identity, from the national appreciation of cowboy songs in popular culture to the use of Appalachian song forms in radio broadcasts to the role of dustbowl ballads in the urban folk revival of the 1950s and 1960s. Finally, this collection assesses the changing role of songs and song texts in the academic fields of folklore, anthropology, musicology, and ethnomusicology. Scholars and students of American cultural and social history, as well as fans of North American folk and popular music, will find The Ballad Collectors of North America a fascinating story of how the American folk tradition gained greater visibility, fueling the revolutions that would follow in the writing and performance of American music.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".