First-person, video-stimulated recall method for studying musical improvisation strategies
Bibliographic record
Abstract
Accessing the strategies implemented during real-time musical creative processes represents a challenge for researchers. Retrospective verbal protocol with subjective aided recall (RVPwSAR), where a first-person video is used as an aid to elicit feedback from a subject, has shown great potential for the study of real-time decision-making in sport, therapy, emergency situations, and consumer behavior. This article reviews research methods studying real-time decision-making and discusses the implications of a previous study using RVPwSAR to observe decision-making strategies during musical improvisation. The objective of this article is twofold: (1) to present the contributions and limitations of the RVPwSAR to arrive at a better understanding of the strategies implemented in real-time during musical improvisation; (2) to discuss the potential of the RVPwSAR for studying the strategies implemented in other real-time musical creative tasks. I argue that research where the RVPwSAR is applied may contribute to a better understanding of the strategies used during the real-time musical process, and, ultimately, contribute to the promotion of creative musical teaching and learning.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".