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Record W4300003504 · doi:10.29173/pandpr29458

Music-in-Becoming

2022· article· en· W4300003504 on OpenAlexvenueno aff
Edvin Østergaard

Bibliographic record

VenuePhenomenology & Practice · 2022
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenology (philosophy)Active listeningBass (fish)PresumptionPsychologyPhenomenological methodAestheticsInterpretative phenomenological analysisVisual artsSociologyEpistemologyArtQualitative researchCommunicationSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

In this article, Music-in-Becoming, I explore the integrative practices of composing music and researching its emergence. The article reports from an artistic research project on composition as lived experience. The music that serves as the raw material for my inquiry consists of four pieces for three overtone-skilled singers and one double bass player for the concert Ørenslyd, all performed in Berlin in October 2019. My intention is to show how composing music takes place in a phenomenological in-between of composer and work that is driven by attentive listening and the complementary skills of activeness and receptiveness. In this in-between, the skill of listening plays a crucial role as it is both participatory and receptive. I further examine and discuss the methods I use during this exploration, influenced by both artistic research and phenomenological research. The two methodological approaches are compared regarding their characteristic differences and their potential kinships. My presumption is that the active-receptive act of composing at its core is a phenomenological-hermeneutic practice. I conclude that artistic research seems to be profoundly influenced by phenomenology, whereas not all phenomenological research is influenced by art as practices or as a research approach.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0450.001

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.

Opus teacher head0.086
GPT teacher head0.392
Teacher spread0.306 · 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.

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
Published2022
Admission routes1
Has abstractyes

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