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Record W4392856515 · doi:10.22176/act23.1.102

Interculturalism, Interculturaldad, and Music Education

2023· article· en· W4392856515 on OpenAlexaff
ROGER MANTIE, PEDRO TIRONI-RODÓ

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsInterculturalismPsychologyPedagogy

Abstract

fetched live from OpenAlex

Diversity has long been an area of interest for music education.Interculturalism, with its emphasis on cultural competence, dialogue, and humility, has emerged as a popular concept for the negotiation of difference in music education.Based on an examination of the international non-governmental organization-sponsored intercultural music exchange program, Ethno World, the authors ask, "In what ways can the intercultural activities of the Ethno World program be understood in light of Global North and South experiences, and what implications might these activities hold for music education?"Deploying the postcolonial framework of coloniality and the Central-South American concept of interculturalidad, the authors argue that intercultural efforts in music education must be careful not to inadvertently deepen Global North-South divisions by treating interculturalism as a problem of knowledge, thereby overlooking or bracketing out colonial histories that benefit those in the Global North at the expense of those in the Global South.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.043
Scholarly communication0.0100.006
Open science0.0010.011
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.077
GPT teacher head0.257
Teacher spread0.181 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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