Outside the Box: Wabi-sabi Behind the Scenes in Sakamoto
Bibliographic record
Abstract
The Japanese aesthetic wabi-sabi () has received attention as a versatile philosophy for examining and elucidating different aspects of imperfection in soundscape music.Yet, research that uses wabi-sabi to elucidate deeper contexts in imperfection-inspired soundscapes often overlooks wabi-sabi's historical and spiritual aspects -resulting in inauthentic interpretations.This paper establishes a background about imperfection in the Japanese composer Ryuichi Sakamoto's soundscape album async -then presents wabi-sabi as a theoretical applicationdrawing research from the architecture, visual arts, and design fields to integrate their frameworks into Sakamoto's soundscapes and the possibilities it provides.Three underlying aspects of wabi-sabi serve as interpretive grounds in elucidating async's imperfection: Natural Imperfection, Asymmetry, and Emptiness/Nothingness.Selections from Sakamoto's album async are presented as case studies to illustrate each underlying aspect and to understand how wabi-sabi can be adapted to various aspects of imperfection throughout the album.
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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 | 0.018 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.012 |
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; both teacher heads agree on what is shown here.
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".