MétaCan
Menu
Back to cohort
Record W1488647710

Music, Curriculum, and Early Childhood

2014· article· en· W1488647710 on OpenAlex
Lorna Jean Donlevy

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.

Bibliographic record

VenueThe Journal of Teaching and Learning · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeEarly childhoodCurriculumPedagogyPsychologyMusic educationMusicalLiteracyEarly childhood educationVisual artsArtDevelopmental psychologyLiterature
DOInot available

Abstract

fetched live from OpenAlex

Music influences young children’s development and learning in many ways. Music as a communicative tool is a natural way to express emotions and thoughts (Yazejiian & Peisner-Feinberg, 2009). Not only is music intrinsically fun and motivating for young learners, it helps improve children’s language, literacy, and communication skills (Paquette & Rieg, 2008). Further, it helps promote children’s creative inquiry and expression, and their aesthetic and holistic development as human beings. The above musical outcomes are achievable, notwithstanding the level of musical training or the ability of the teacher. There is incredible value in teachers’ integration of music activities into daily practices in today’s diverse early childhood classrooms. In this research project, I explore these propositions using narrative inquiry. I share stories of my personal and professional music experiences and, drawing from these stories, I reflect on my own teaching practices and how these experiences have shaped me as an early childhood teacher. I support and connect my narratives to literature written by early childhood educators and music specialists. I provide a review of literature on the benefits of music in early learning environments, a review that provides theoretical and curricular support for early childhood educators to enhance their play-based pedagogy with musical activities. Through the use of video segments, I demonstrate and describe ways to incorporate music into routine early learning environments. The viewer then can see for himself/herself the in-class dynamics and form his/her own impressions. This resource provides teachers with ideas, leads, resources, and hands-on activities that will assist them in integrating play-based music activities into daily classroom practices. Normal 0 false false false EN-CA JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Table Normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-fareast-language:EN-US;}

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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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