Bibliographic record
Abstract
The Audio-Visual Commission hosted two sessions in Vienna, the first on Monday 29 July and the second on Friday 2 August, both located in the C2 room of Vienna University's Horsaalzentrum. The first session, entitled Digitising Sound, featured presentations by Jutta Lambrecht and Markus Hassler of Westdeutscher Rundfunk (Koln) on Wege der Digitalisierung und Archivierung am Beispiel von Karlheinz Stockhausens der Jerry McBride of Stanford University on Acoustics Research and Mathias Bostrom of the Swedish Centre for Folk Music and Jazz Research (Stockholm) on What's the Difference Between Music on Paper and Music on Phonogram? The Introduction of Recording Technology in Memory Institutions in Sweden (1898-1933) and its Consequences for Documentation, Archiving and Research. Lambrecht and Hassler's presentation focused on the digital preservation of materials comprising Karlheinz Stockhausen's piece Gesang der Junglinge, specifically the development of a new method for synchronizing the tapes of electronic sounds and their matching recordings of the human voice; it was especially exciting to hear extracts of Stockhausen working with a boy soprano on mimicking the taped electronic sounds. McBride's presentation highlighted the archival holdings of the Musical Acoustics Research Library, a collection at Stanford University that documents the activities of the Catgut Acoustical Society and associated prominent acousticians; the work of Carleen Hutchins and Arthur Benade was emphasized, especially their research and experiments in modifying instruments to improve tone quality. Bostrom's presentation ended the session with an exploration of ethnomusicological uses of cylinder phonograph technology in Sweden, including a discussion of transcription techniques from the recordings to notational forms. The second session, entitled Digitisation of Music: Projects and Perspectives, featured presentations by Christine Blanken of the BachArchiv Leipzig on Bach Digital: Das internationale Portal fur Bach-Forscher, Musiker, Musikliebhaber und demnachst auch den musikalisch interessierten Nachwuchs, Franz Jurgen Gotz of the Bayerische Staatsbibliothek (Munchen) on A New Virtual Library for Libretti: Digitizing and Presenting the Libretti of the Her Collection at the Bavarian State and Andrew Hankinson and Ichiro Fujinaga of McGill University (Montreal) on Using Optical Music Recognition to Navigate and Retrieve Music Documents. …
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.008 |
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; both teacher heads agree on what is shown here.
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".