Bibliographic record
Abstract
Showcases the energy and diversity of the young field of music semiology, appealing to readers who want to explore the meaning of music in our lives. The Dawn of Music Semiology showcases the work of nine leading musicologists, inspired by the work of Jean-Jacques Nattiez, the founding father of music semiology. Now entering its fifth decade as Nattiez enters his eighth,music semiology, or music semiotics, is still a young, vibrant field, and this book reflects its energy and diversity. It appeals to readers wanting to explore the meaning of music in our lives and to understand the ways of appreciating the complexities that lie behind its simple beauty and direct impact on us. Following a preface by Pierre Boulez and an introduction by the editors, nine chapters discuss the latest thinking about general considerations such as music and gesture, the psychology of music, and the role of ethnotheory. The volume offers new research on topics as diverse as modeling folk polyphony, spatialization in the Darmstadt repertoire, Schenker's theory of musical content, compositional modernism from Wagner to Boulez, current music theory terminology, and Maderna's use of folk music in serial composition. CONTRIBUTORS: Kofi Agawu, Simha Arom, Rossana Dalmonte, Irène Deliège, Jonathan Dunsby, Jonathan Goldman, Nicolas Meeùs, Jean Molino, Arnold Whittall Jonathan Dunsby is Professor of Music Theory at the Eastman School of Music, University of Rochester. Jonathan Goldman is Professor of Musicology at the University of Montreal.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".