The 17th International Conference of Students of Systematic Musicology (SysMus24)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The 17th International Conference of Students of Systematic Musicology (SysMus24) was hosted by the Centre of Excellence in Music, Mind, Body, and Brain (CoE MMBB) at the Department of Music, Art, and Culture Studies at the University of Jyväskylä, Finland, from June 8 to 10, 2024. Organized in hybrid format, the conference offered a rich variety of presentations and activities featuring 41 talks, 10 posters, 5 workshops, and a panel discussion, as well as an entertaining program of social events. Keynote talks were given by Minna Huotilainen (Professor of Educational Sciences, Director of the Changing Education master's program and Principal Investigator at the Centre of Excellence in Research on Music, Mind, Body, and Brain at the University of Helsinki, Finland), Tuomas Eerola (Professor in Music Cognition and Director of Research at Durham University, UK) and Isabelle Peretz (Professor of Psychology at the University of Montreal, Canada). This conference report offers an overview of SysMus24, reviewing the topics addressed across the conference, and reflecting on the value and timeliness of the hybrid format and its place within the future of academic conferences.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it