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Record W1985440717 · doi:10.1386/ijcm.5.2.111_1

The Funky Mamas: Learning to create and perform music for young children within a community of practice

2012· article· en· W1985440717 on OpenAlex
Benjamin Bolden

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Community Music · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsQueen's University
Fundersnot available
KeywordsPedagogyRepertoirePsychologyCommunity of practicePerceptionMusic educationSociologyArt

Abstract

fetched live from OpenAlex

This article reports a case study examining the music learning and making of the Funky Mamas – five professional mother-musicians who create and perform music for young children at festivals, fairs, theatres and community events across Canada. Data were collected through interviews with the band members and field observations of rehearsals and live performances. Analysis involved the coding and sorting of data for correspondence to emergent themes and for themes suggested and informed by the theoretical framework of Etienne Wenger’s Communities of Practice (1998). The author draws from the Funky Mamas’ relating of experiences and perceptions to illustrate their processes of learning through practice, including: evolving forms of mutual engagement; understanding and tuning their enterprise; and developing repertoire, styles and discourses. Findings from this study inform implications for teaching and learning; the author suggests how music educators might support and enrich learning-through-practice proesses amongst their own students.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.307
Teacher spread0.222 · 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