Exploring American folk music: ethnic, grassroots, and regional traditions in the United States
Bibliographic record
Abstract
Exploring American Folk Music: Ethnic, Grassroots, and Regional Traditions in the United States reflects the fascinating diversity of regional and grassroots music in the United States. The book covers the diverse strains of American folk music--Latin, Native American, African, French-Canadian, British, and Cajun--and offers a chronology of the development of folk music in the United States. The book is divided into discrete chapters covering topics as seemingly disparate as sacred harp singing, conjunto music, the folk revival, blues, and ballad singing. It is among the few textbooks in American music that recognizes the importance and contributions of Native Americans as well as those who live, sing, and perform music along our borderlands, from the French speaking citizens in northern Vermont to the extensive Hispanic population living north of the Rio Grande River, recognizing and reflecting the increasing importance of the varied Latino traditions that have informed our folk music since the founding of the United States. Another chapter includes detailed information about the roots of hip hop and this new edition features a new chapter on urban folk music, exploring traditions in our cities, with a case study focusing on Washington, D.C. Exploring American Folk Music also introduces you to such important figures in American music as Bob Wills, Lydia Mendoza, Bob Dylan, and Muddy Waters, who helped shape what America sounds like in the twenty-first century. It also features new sections at the end of each chapter with up-to-date recommendations for Suggested Listening, Suggested Reading, and Suggested Viewing.
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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 | 0.000 | 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) | 0.001 | 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".