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Record W4289516806 · doi:10.3389/feduc.2022.913390

The Extra-Ordinary Music Camp: An informal online distance learning approach for children with intellectual and physical disabilities and learning disorders

2022· article· en· W4289516806 on OpenAlexafffund
Jean‐Philippe Després, Francine Julien‐Gauthier, Colette Jourdan-Ionescu, Flavie Bédard-Bruyère

Bibliographic record

VenueFrontiers in Education · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCreativityAutonomyPsychologyCitizen journalismMusicalIntellectual disabilityMusic educationParticipatory action researchApplied psychologyDevelopmental psychologyPedagogyComputer scienceSocial psychologySociology

Abstract

fetched live from OpenAlex

In summer 2020, 25 children aged 8–17 with intellectual and physical disabilities and learning disorders participated in a research project called the Extra-Ordinary Music Camp. The objectives were to (1) provide an adapted environment where extra-ordinary children could develop musical creativity; and (2) examine the impact of informal, inclusive, participatory, and adapted creative music activities on specific development areas. Individual 20–40-min online sessions were delivered at a distance biweekly for 7 weeks. Mixed methods analysis was used to determine the effects. Results show shared improvement across the communication and social skills measures, and improvements for all participants in community use, musical skills, autonomy, and technology skills. Notably, the improvements in community use (ABAS-II) and communication (specifically developed questionnaire) were significant.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.221
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2022
Admission routes2
Has abstractyes

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