Future Directions of Music Cognition 2021 Full Proceedings
Bibliographic record
Abstract
The Future Directions of Music Cognition conference developed parallel to many of the societal changes brought about by the COVID-19 pandemic.The result was an innovative approach to online, remote conferencing.This proceedings journal reflects the research presented at the conference and speaker series, but the virtual nature of the conference also provides opportunities for this journal to be multimedia in new and exciting ways.Most of the articles in this journal are accompanied by an online multimedia presence, with articles linked to videos of the authors presenting, slides, and access to original data and stimuli.This article reviews the story of how the conference and speaker series developed during the pandemic, some of the achievements of the conference, and how the journal is structured."Use-inspired music cognition: Designing cognitively informed musical interventions for the brain," casts light on the future of music cognition research by reviewing and drawing lessons from the early days of the field, arguing for a deeper integration of pure music cognition research with practical applications of musicbased interventions that can genuinely help people and make the world a better place.Following this first section, the remaining sections reflect the conference's contributions in six of the music cognition sub-disciples represented by the conference, including corpus studies, music and emotion, pedagogy, music perception, rhythm and meter, and timbre.Each section consists of full-length articles organized by first author last name.Sections end with the published abstracts for that sub-discipline.Finally, the journal ends with an editorial epilogue that reflects on how the Future Directions of Music Cognition conference, speaker series, and proceedings interact with some of the societal changes that have happened between the original conception of the conference and its conclusion as a way of looking forward to what future directions the field may take.As mentioned above, all conference presentations were recorded and posted in perpetuity on the Open Science Framework's (OSF) Future Directions of Music Cognition -March Conference web page (2021).Speaker series talks are also freely available at OSF's Future Directions of Music Cognition -Speaker Series website (2021).Most of the articles in this journal were also presented at the conference, and so readers can watch video presentations on OSF.Additionally, several OSF pages also include slides of presentations, original data from studies, stimuli used, or other background materials.DOI links for each presentation are included in the header of each article below author information.Interested readers are encouraged to further examine online content.Finally, as of this publication date the conference Slack channel (2021) remains available, with separate channels for each session.Visitors to the Slack channel can review the history of questions, answers, and comments associated with each paper.By joining the Slack channel, readers may even post their own questions to authors and continue public dialogue about the research in this journal. References
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".