Bibliographic record
Abstract
The Tragic Odes of Jerry Garcia and the Grateful Dead is a multifaceted study of tragedy in the group’s live performances showing how Garcia brought about catharsis through dance by leading songs of grief, mortality, and ironic fate in a collective theatrical context. This musical, literary, and historical analysis of thirty-five songs with tragic dimensions performed by Garcia in concert with the Grateful Dead illustrates the syncretic approach and acute editorial ear he applied in adapting songs of Robert Hunter, Bob Dylan, and folk tradition. Tragically ironic situations in which Garcia found himself when performing these songs are revealed, including those related to his opiate addiction and final decline. This book examines Garcia’s musical craftsmanship and the Grateful Dead’s collective art in terms of the mystery-rites of ancient Greece, Friedrich Nietzsche’s Dionysus, 20th century American music rooted in New Orleans, Hermann Hesse’s Magic Theater, and the Greek Theatre at Berkeley, offering a clear prospect on an often misunderstood phenomenon. Featuring interdisciplinary analysis, close attention to musical and poetic strategies, and historical and critical contexts, this book will be of interest to scholars and researchers of Popular Music, Musicology, Cultural Studies, and American Studies, as well as to the Grateful Dead’s avid listeners.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".