The 2nd Symposium of the ICTM Study Group on ‘Global Music History’ in Palermo, Sicily
Bibliographic record
Abstract
The second Official Symposium of the ICTM Study Group on Global History of Music was held in Palermo, Sicily, from 7 to 9 June 2023, under the title ‘An entire ocean in a drop of water’: Island Musics, Performance Identities, and Sound Archives. More than fifty scholars and researchers from all over the world came together in eleven sessions and three panels to discuss some of the most relevant topics of our time in the field of ethnomusicological studies, such as the function and value of archives, the musical traditions of the diasporas, and the historical dimension of music in prevalent oral tradition and mentality. The three days of the symposium held in Palermo were marked by an in-depth examination of cross-cutting themes, to which scholars from seventeen different countries contributed, including Russia, Italy, Azerbaijan, Canada, Germany, Austria, Portugal, Argentina, Kazakhstan, the Netherlands, Ireland, China, the United States, Albania, Kyrgyzstan, the United Kingdom, and Malaysia. Some participants delivered their papers through online presentations, while most of them gathered to share the results of their latest research.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".