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Record W2811231179 · doi:10.1177/0255761418774938

“Not just bow and string and notes”: Directors’ perspectives on community building as pedagogy in Celtic traditional music education organizations

2018· article· en· W2811231179 on OpenAlexfundno aff
Lisa A. Gilbert

Bibliographic record

VenueInternational Journal of Music Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
FundersUniversity of Windsor
KeywordsCeltic languagesMusic educationPedagogySociologyMeaning (existential)Set (abstract data type)PsychologyHistory

Abstract

fetched live from OpenAlex

Celtic traditional musics, such as those originating in Ireland and Scotland, are typically transmitted outside formal avenues. Most studies regarding the learning of Celtic traditional music have focused on the experience of teachers and students, but less is known about the philosophies of organization directors who create contexts for teacher–student interactions. In an effort to fill this gap, this qualitative interview study examines the perspectives of nine directors of organizations located in Europe and North America dedicated to teaching Celtic traditional music. Analysis showed that directors perceived the aural transmission of the music as helping students connect with each other and build community. Further, directors’ beliefs about history tended to motivate their decision-making processes toward fostering community as part of their pedagogical practice. The learning goals they set for students tended to emphasize these intangible goals over and above technique- or repertoire-related aims, with social skills being included in their definitions of “musicianship.” Implications are raised regarding meaning-making and beliefs about history in Celtic traditional music communities.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.113
GPT teacher head0.340
Teacher spread0.227 · 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 designQualitative
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

Citations13
Published2018
Admission routes1
Has abstractyes

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