Bibliographic record
Abstract
LOCATI ON OF LIBRETTOS Great Britain (GB) 1 London, British Library 2 London, Royal College of Music 3 London, Victoria and Albert Museum (Theatre Museum) 4 London, Foundling Museum (Gerald Coke Handel Collection) 5 London, Handel House Museum 6 London, University College Library 7 Cambridge, Fitzwilliam Museum 8 Cambridge, King's College (Rowe Library) 9 Cambridge, University Library 10 Oxford, Bodleian Library 11 Oxford, Worcester College Library 12 Manchester Central Library (Flower Collection) 13 Birmingham Central Library 14 Edinburgh, National Library of Scotland 15 Mellerstain House, Berwickshire, Scotland 16 John Greenacombe (private collection) United States of America (US) 1 Washington (DC), Library of Congress 2 Washington (DC), Folger Shakespeare Library 3 Boston Public Library 4 New York Public Library 5 Chicago, Newberry Library (inc. Howard Mayer Brown Collection) 6 Chicago, University Library 7 San Marino, California, The Huntington Library 8 Princeton, University Library 9 New Haven, Yale University Library 10 Cambridge, Mass., Harvard University Library (inc. Neils-Ward Collection) 11 Ithaca, NY, Cornell University Library 12 Santa Barbara, University of California 13 Berkeley, University of California, Music Library 14 Los Angeles, University of California, William A. Clark Library 15 Los Angeles, University of California, Music Library 16 Bloomington, Indiana University Lilly Library 17 Philadelphia, The Library Company of Philadelphia 18 San Francisco State University Library (Frank V. de Bellis collection) 19 Columbia, Mo., University of Missouri, Ellis Library Canada (C) 1 Toronto, University of Toronto, Faculty of Music Belgium (B) 1 Brussels, Bibliotheque Royale de Belgique (Koninklijke Bibliotheek) France (F) 1 Paris, Bibliotheque Nationale de France (Schoelcher Collection) The Netherlands (NL) 1 The Hague, Gemeentemuseum Germany (G) 1 Hamburg, Staats- und Universitatsbibliothek Carl von Ossietzky 2 Berlin, Staatsbibliothek 3 Hanover, Gottfried Wilhelm Leibniz Bibliothek (Niedersachsische Landesbibliothek) 4 Wolfenbuttel, Herzog August Bibliothek 5 Brunswick, Stadtbibliothek 6 Munich, Bayerische Staatsbibliothek 7 Weimar, Herzogin Anna Amalia Bibliothek [? some holdings destroyed in fire of 2 September 2004] 8 Eutin, Landesbibliothek 9 Jena, Friedrich-Schiller-Universitat, Universitatsbibliothek 10 Kiel, Universitatsbibliothek 11 Schwerin, Mecklenburgische Wissenschaftliche Allgemeinbibliothek 12 Wolfenbuttel, Niedersachsisches Staatsarchiv Austria (A) 1 Vienna, Osterreichische Nationalbibliothek
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.112 | 0.026 |
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".