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Record W4283458120 · doi:10.36510/learnland.v15i1.1059

Biodanza and Other Dance Forms as a Vehicle for Social-Emotional-Learning in Schools: A Scoping Review

2022· review· en· W4283458120 on OpenAlexaffvenue
Joana Calçada, Chris Gilham

Bibliographic record

VenueLEARNing Landscapes · 2022
Typereview
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsDancePsychosocialPsychologySocial emotional learningMental healthDance educationDevelopmental psychologyPedagogyApplied psychologyVisual artsPsychotherapistArt

Abstract

fetched live from OpenAlex

In this scoping review, the literature on the relationship between dance and Social Emotional Learning (SEL) was consolidated. Research of various forms of dance on psychosocial outcomes among K-6 populations included: increased sense of belonging, violence prevention, and increased creative thinking and problem-solving responses. The dance form, Biodanza, in particular, may be useful in engaging students in the active practice of social skills, appropriate use of body language, self-regulation, self-awareness, and boundaries. We suggest that using dance as a tool for SEL in the classrooms may contribute to improved student mental health and to more inclusive schools.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.076
GPT teacher head0.388
Teacher spread0.311 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations8
Published2022
Admission routes2
Has abstractyes

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