Sleep Consolidation of Musical Competence
Bibliographic record
Abstract
Previous research has shown that sleep facilitates skill acquisition by consolidating recent memories into a stabilized form. The way in which sleep benefits the acquisition of a musical skill, however, is unclear. This is because previous studies have not dissociated the extent to which sleep consolidates learned motoric patterns from the conceptual structure of the music. We thus designed two experiments in which pianists performed short pieces – designed to separate conceptual from motoric errors – over the course of a day. In Experiment 1, participants were trained in the morning and tested immediately, 12 hours, and 24 hours after training. While both motor and conceptual errors increased over a waking retention interval, only conceptual errors were significantly reduced after sleep. Moreover, individuals who reported spending more time “playing by ear” showed greater reductions of conceptual errors after sleep. A second control experiment, in which participants were trained in the evening and tested immediately – as well as 12 hours – after training, confirmed that the results from Experiment 1 could not be attributed solely to circadian confounds or to elapsed time since training. Together, these results suggest that conceptual and motor errors consolidate differently and interact with differences in practice style.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".