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Record W4405984253 · doi:10.31763/jsse.v3i2.95

“A pocket of possibility”: Silence in creative Australian music teaching and learning

2024· article· en· W4405984253 on OpenAlexaboutno aff
Jane Southcott

Bibliographic record

VenueJournal of Silence Studies in Education · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceVisual artsPsychologyCommunicationAestheticsPedagogyMathematics educationArt

Abstract

fetched live from OpenAlex

Silence defines sound, framing it and giving it meaning. Contemporary music engagements with silence have infiltrated Australian school music education practices through the work of three seminal composer-educators. This selective historical sweep is infused by the personal. I was an inspired early adopter of exploratory creative approaches permeated by silence. I adopt an autoethnographical approach punctuating history with first-hand vignettes. In 1939 provocative American modernist composer John Cage (1912-1992) published Silence, an extended manifesto. In 1952, he created and performed the iconic work “4’33” in which performers are instructed not to play. Twenty-years later, I was one such performer. Silence became the focus of listener experience. Once legitimised, intentional silence infiltrated composition and music education. In 1967 George Self (1921-2001) devised ensemble improvisations suitable for schools, the first being “Sound/silence.” In 1970 another prolific British composer/educator John Paynter (1931-2010) published (with Peter Aston) the revolutionary Sound and Silence, which comprised increasingly complex classroom projects in creative music. The first attends to instrumental sounds punctuated by deep silences. Canadian composer/educator R. Murray Schafer (1933-2021) asserted the silence is a container for musical events, it is valuable, increasingly lost, and a focus of modern composers. Evocatively he described silence as “a pocket of possibility.” As a young music educator, I embraced these provocative, inspirational ideas. Murray Schafer toured Australia, speaking charismatically to a crowd including me. His ideas, bolstered by those of Cage, Self and Paynter, gradually permeated Australian school music practice. I was a witness to this, becoming a disciple and practitioner of creative compositional approaches to music teaching and learning.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.359
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes1
Has abstractyes

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