Outside the Box: Wabi-sabi Behind the Scenes in Sakamoto
Bibliographic record
Abstract
The Japanese aesthetic wabi-sabi (侘寂) 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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".