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Record W2735790260 · doi:10.1145/3097286.3097329

Challenging Music Education

2017· article· en· W2735790260 on OpenAlexaff
Stephanie Horsley, Janice Waldron

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMusic educationMusicalPhenomenonMusicologyAction (physics)SociologyIntersection (aeronautics)Popular musicMusic GeographySocial mediaMusic historyAestheticsPsychologyVisual artsPedagogyComputer scienceArtEpistemologyWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

Music is a ubiquitous phenomenon that is used to shape personal, community, and cultural identities and forms the basis of significant economic activity and engagement. Given that musical activities are predicated on social interaction, the potential of social media to intensify and extend musical action has significant implications for developing a critical approach to music education for twenty-first century citizens. This paper explores the intersection of social media, educational theory, and music education to argue for the importance of transforming elements of music education to reflect the ways in which individuals currently navigate the various uses (and abuses) of music in a digitally networked society, where music is a powerful social and cultural tool. A current exploratory study of music education and social media is discussed, and the implications for a "future" music education are presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.001

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 head0.125
GPT teacher head0.274
Teacher spread0.149 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2017
Admission routes1
Has abstractyes

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