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Record W7155071963 · doi:10.59236/ijea15n16

Songs in Our Hearts

2014· article· W7155071963 on OpenAlexaff
Rachel Heydon, Susan O'Neill

Bibliographic record

VenueInternational journal of education and the arts · 2014
Typearticle
Language
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsSimon Fraser UniversityWestern University
Fundersnot available
KeywordsAffordanceCurriculumThe artsIdentity (music)SingingLiteracyMultimodalityAustralian Curriculum

Abstract

fetched live from OpenAlex

This qualitative case study examines the affordances and constraints of an intergenerational multimodal arts curriculum that was designed to expand communication and identity options for children and elder participants. The authors drew on actor-network theory to conceptualize curriculum as a network effect and refer to literature on multimodal literacy to discuss how interests, knowledge, and the modes themselves (e.g., art and singing) influenced communication and identity options in the curriculum. Focusing on singing, the findings indicate that the affordances and constraints of the curriculum were created through a network that included the participants and the materials of communication (e.g., musical instruments). Art and talking supported singing as did the emergent curricular model. The elders had mixed prior experiences and facility with singing, however, their desire to support the children engaged them in the practice. The curriculum supported symmetrical relationships between participants, and the case adds to the literatures on intergenerational programs, multimodal literacy, arts education, and curriculum.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes1
Has abstractyes

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