Characteristics of sleep-conducive music: A narrative evidence review
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
Objectives: Sleep deficiency (SD) is a prevalent problem and has serious negative consequences for physical, cognitive, and psychological well-being. The use of music as a non-pharmacological sleep intervention has been proposed in several studies. A 2014 meta-analysis of 10 randomized trials evaluating the impact of music on sleep concluded that it can decrease sleep onset delay (latency) and sleep disturbances, increases sleep duration, and improves daytime dysfunction.  It appears that, to-date, evidence-based guidelines for the selection and/or production of sleep-promoting music do not exist.  This review addresses that gap and synthesizes available literature towards the goal of developing guidelines grounded in the evidence-based characteristics of sleep conducive music. Design and Results: A narrative review of research papers relevant to the topic identified evidence-based characteristics of sleep-conducive music related to tempo, rhythm, pitch, volume, and duration. Conclusion: This identification and compilation of evidence-based characteristics of sleep-conducive music can underpin future research that targets development and testing of specific music to promote sleep.  
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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