Bibliographic record
Abstract
The eight chapters of Understanding Boccherini's Manuscripts discuss various aspects of the study of the manuscript sources for the music of Luigi Boccherini (1743-1805), one of the foremost composers of the second half of the eighteenth century. This book begins by outlining the various types that can be distinguished among the manuscripts written by the composer himself or by his copyists, such as manuscripts for archival purposes, for publishers and for patrons. German Labrador continues with a discussion of the chronology of both Boccherini's works and their manuscript sources, and Loukia Drosopoulou describes the musical handwriting that we find in the manuscripts under discussion. Boccherini produced several catalogues of his works of which some are lost, while others have been preserved. Marco Mangani and Federica Rovelli review these documents. The second half of this book addresses more specific topics. Giulio Battelli pays attention to a recent addition to Boccherini's known oeuvre, the Laudate pueri, a very early work, preserved in the library of the Istituto Musical in Lucca. Rupert Ridgewell deals with the relations between Boccherini and the Viennese publishing house Artaria. Matanya Ophee considers the sources for Boccherini's Guitar Quintets recently come available, and, finally, Jaime Tortella comments upon some letters to the nineteenth-century collector Julian Marshall - one of them by Alfredo Boccherini, a great-grandson of the composer - that shed light on the adventures of Boccherini's manuscripts in the nineteenth century. Furthermore, a common bibliography following all the chapters is supplied, as are extensive indexes. In addition to regular indexes of subjects and names, indexes covering letters cited, catalogues, manuscript sources, early editions, and Boccherini's works are also provided. As such, this book is an altogether indispensable tool for everybody with a scholarly interest in the life and work of Luigi Boccherini, and a splendid model for similar work on other composers.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".