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Record W4391324476 · doi:10.55905/revconv.17n.1-402

Impacto da musicoterapia no desenvolvimento de crianças com Transtorno do Espectro Autista

2024· article· pt· W4391324476 on OpenAlexaff
Emanuela Machado Silva Saraiva, Beatriz de Castro Alves Oliveira, Juliana Costa Barreto, Letícia Leite Cavalcante, Vinicius dos Santos Silva, Vanusa Maria Gomes Napoleão Silva, Edna Maria Camelo Chaves

Bibliographic record

VenueContribuciones a las Ciencias Sociales · 2024
Typearticle
Languagept
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Além da psicoterapia, terapia ocupacional e fonoaudiologia, outras práticas terapêuticas têm demonstrado bons resultados na melhora de problemas relacionados à comunicação e interação social no autismo, tais como a musicoterapia. Objetiva-se verificar o impacto no desenvolvimento de crianças com transtorno do espectro autista, a partir da musicoterapia como terapia complementar. Trata-se de uma revisão integrativa, realizada nas bases de dados PubMed e SciELO, em novembro de 2023. utilizando-se dos descritores “Autism”; “Music therapy”, juntamente com o operador booleano ‘AND’. Um total de 05 artigos compuseram a presente revisão, entre estudos controlados e ensaios clínicos, os quais foram desenvolvidos na Noruega, França, Estados Unidos, Canadá e China, publicados em periódicos entre 2020 e 2022. A musicoterapia proporciona melhoria da interação social, dos comportamentos restritos e repetitivos, letargia, estereotipia, coordenação motora, envolvimento com o terapeuta e a atividade, movimento corporal, linguagem e autocuidado. Além disso, está relacionada à melhoria da interação, cooperação e intimidade entre pais e filhos.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.359
Teacher spread0.312 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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Same venueContribuciones a las Ciencias SocialesSame topicLanguage Acquisition and EducationFrench-language works237,207