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Record W4407558164 · doi:10.1177/27527646241313232

World Music Pedagogy in Practice: Part 1 – Learning Irish Traditional Music

2025· article· en· W4407558164 on OpenAlexaboutno aff
F. Kingdon Ward, Patricia Shehan Campbell

Bibliographic record

VenueJournal of General Music Education · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsIrishMusic educationPedagogySociologyVisual artsPsychologyArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Ireland’s music is at times energetic and spirited, and other times pensive and even plaintive, depending upon the occasion. It is linked to the heritage of many North Americans, both in the United States and Canada, who trace their family histories to Ireland, and it is both centuries old and newly composed, as is the composition by Francis Ward, “Planxty Sarsfield.” The music is captivating for cultural insiders as well as for first-timers to the sound of its melodies, rhythms, and timbres. It is a fitting choice for students of various age and experience levels, due to its accessibility, singability, limited rhythmic palette, and the meaningful sociocultural messages of displacement and musical resilience that it communicates. Through the application of the five dimensions of World Music Pedagogy, this planxty is made even more suitable for teaching music and culture to students from middle childhood through secondary school.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0080.003
Open science0.0020.011
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.004

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 head0.119
GPT teacher head0.334
Teacher spread0.215 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

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