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Record W2769758462 · doi:10.18357/jcs.v42i2.17841

More Than Words: Using Nursery Rhymes and Songs to Support Domains of Child Development

2017· article· en· W2769758462 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Childhood Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsMount Royal University
Fundersnot available
KeywordsSpan (engineering)PsychologyDevelopmental psychologyCompetence (human resources)Life spanCognitionBiologySocial psychologyEvolutionary biology

Abstract

fetched live from OpenAlex

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>During her 20 years of work experience using traditional </span><span>nursery rhymes (including songs) across a variety of early childhood education programs, the author has come to realize their versatility in supporting multiple domains of child </span><span>development. She contextualizes specific rhymes within domains defined by the Early Development Instrument: </span><span>physical health and well-being, language and cognitive development, communication skills and general knowledge, social competence, and emotional maturity. By discussing how rhymes can be practised effectively with children of different ages, she aims to highlight the developmental </span><span>benefits of using them with children and to further promote </span><span>their use among caregivers and practitioners. </span></p></div></div></div></div>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.043
GPT teacher head0.356
Teacher spread0.314 · 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