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Record W4405279773 · doi:10.56238/arev6n4-141

TEATRO COMO FERRAMENTA FACILITADORA DA EDUCAÇÃO EM SAÚDE ESCOLAR: REVISÃO INTEGRATIVA DO PERÍODO 2007-2021

2024· article· pt· W4405279773 on OpenAlexaboutno aff
Lucas Lima de Carvalho, Lucas Rodrigues Claro, A. Maia, Bruna Liane Passos Lucas, Cláudia Lima Campos Alzuguir, Elisa da Conceição Rodrigues, Antônio Eduardo Vieira dos Santos, Alexandre Oliveira Telles, Eduardo Alexander Júlio César Fonseca Lucas

Bibliographic record

VenueAracê. · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicPeriod (music)DramaHealth educationMedical educationMEDLINECharterPsychologyPedagogyMedicineNursingPolitical sciencePublic healthArtVisual arts

Abstract

fetched live from OpenAlex

Esta revisão integrativa objetivou: a) caracterizar a produção científica, no período de 2007 a 2021, sobre educação em saúde de escolares, com base no teatro como ferramenta facilitadora; b) discutir implicações dos principais resultados evidenciados na produção científica à luz dos pressupostos da Carta de Ottawa. A busca dos artigos nas bases selecionadas LILACS, MEDLINE e BDENF, foi realizada entre abril e maio de 2021 com descritores: “Saúde do Estudante”; “Drama” e “Serviços de Saúde Escolar”. A amostra foi de seis artigos e a análise foi baseada em Bardin. Os resultados demonstram que o teatro se configura como potente instrumento na educação popular em saúde, potencializando o vínculo com a comunidade e adequação à linguagem/componentes culturais das crianças. Evidenciou-se a necessidade de capacitar agentes multiplicadores para desenvolver práticas educativas que utilizem o teatro como ferramenta dialógica para a saúde.

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)0.015
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.100
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.009
Science and technology studies0.0030.004
Scholarly communication0.0090.005
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.108
GPT teacher head0.442
Teacher spread0.334 · 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 designSystematic review
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

Citations0
Published2024
Admission routes1
Has abstractyes

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