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Record W4317182342 · doi:10.22176/act21.2.1

Wherein Apocalypse: The Time Being in Music Education

2022· article· en· W4317182342 on OpenAlexaff
Nasim Niknafs

Bibliographic record

VenueAction Criticism and Theory for Music Education · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransformative learningField (mathematics)ConventionSociologyAestheticsMusic educationSpace (punctuation)Work (physics)EpistemologyMedia studiesPedagogySocial scienceArtComputer sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

In this editorial essay, I bring forth the Derridian concept of time and its spectral relationship to music education to do the labour of the anti- work in the field. I ask three questions specifically: what does time have to do with anti-racist, anti-fascist, and anti-discriminatory work? What does time have to do with music education? And does time, and in this case, the contemporary historical moment, make the field of music education obsolete or all the more necessary? To put it differently and bluntly, what is the fate of music education? Considering the field’s place in the current historical moment, I ponder the field from an alternate position: that music education is not good for anything, nor is it transformative, or an agent of social change. By taking that burden away and taking itself less seriously, one is faced with a slate uninhibited by righteous urgency without yielding to a felt experience of time constraint, and instead can finally breathe and be. It is in this temporal space of being and “out-of-jointness of time” that the authors of this special issue enter and leave their mark and do the anti- work, not because it is necessary or relevant or timely, but because they feel committed to doing this work out of a felt sense of collective responsibility. I invite the readers to pause, take a moment of hesitation, and contemplate the questions posed in this essay and by the authors of this special issue, which leave behind the convention of crisis-management or the urgency-oriented actions and reactive responses to human and environmental crises. I conclude that perhaps it is time to shift from the better world discursive practices to a let’s “unleash overflowing” constancy.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.045
GPT teacher head0.271
Teacher spread0.225 · 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 designTheoretical or conceptual
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

Citations9
Published2022
Admission routes1
Has abstractyes

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