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Record W4413253194 · doi:10.21810/aer.v2i2.6137

The Concept of Soundscape and Music Education in Japan

2023· article· en· W4413253194 on OpenAlexaboutno aff
Tadahiko Imada

Bibliographic record

VenueAcoustic Ecology Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsYesterdayEthosSociologyExhibitionSoundscapeMusic educationClassical musicHumanismArt historyPublishingMedia studiesHistoryVisual artsMusicalLiteratureArtLawPedagogySound (geography)Political science

Abstract

fetched live from OpenAlex

Michel Foucault (1966) says, “if we study thought as an archaeologist studies buried cities, we can see that Man was born yesterday, and that he soon may die,” (Reader, 1987: p. 7). Foucault clarifies that the Western people in the twentieth century are still “the prisoner of a determined system”(Ardagh, 1980: p. 538) of the nineteenth century, bourgeois-humanist. Post-modernism in art was begun as an antithesis to a preconceived idea of Western art including its aesthetics in the twentieth century. This movement proposes several goals, as follows: a) anti-human-centrism, b) anti-Euro-centrism, b) anti-ethno-centrism, and anti-logo-centrism, to develop a new definition of art. Traditional Western music education based on Platonic ethos and Aristotelian mimesis has also exerted great influence on Japanese music education. Today there is an urgent need to bring contemporary discourses to the clinic of Japanese music education. In this article, I describe new types of music education in Japan to contribute to that discourse. The initial idea was carried out during a workshop in the “Exploratorium Exhibition,” at the Science and Technology Hall in Tokyo, sponsored by Science and Technology Hall, Sony Education Encouragement Foundation and Asahi Newspaper Publishing Co. It was held in August and September 1989. The workshop was based on the concept of soundscape as evolved by the Canadian composer R. Murray Schafer in the early seventies at Simon Fraser University in Burnaby, Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.014
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.041
GPT teacher head0.277
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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