MétaCan
Menu
Back to cohort
Record W4382982738 · doi:10.3390/su151310422

Postural Education Programmes with School Children: A Scoping Review

2023· review· en· W4382982738 on OpenAlexfundno aff
Cristina Lima Araújo, Ana Paula Moreira, Graça Simões de Carvalho

Bibliographic record

VenueSustainability · 2023
Typereview
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaUniversidade do MinhoInternational Council for Canadian Studies
KeywordsRelevance (law)Medical educationPsychologyApplied psychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Spinal deformities and back pain are growing problems in childhood and adolescence, due to unhealthy habits. This study undertook a scoping review to identify scientific studies with children and adolescents, focusing on the methodologies used, implementation of key factors and gaps, and results of postural education programmes to promote sustainable healthy habits. The methodological tool PRISMA-ScR was used. Five online databases were used to identify papers published since 2013. Eligibility criteria were defined, and the search strategies were drafted. A total of 86 publications were initially identified; after screening and applying eligibility criteria, 11 papers were included in this study for detailed analysis. The postural education programmes in these papers mainly focused on adolescents’ postures and postural learning acquisition, using different teaching methodologies; only one study was conducted with children between 5 and 6 years old enrolled in preschool. Follow-up studies revealed inconsistent results. However, developing and measuring the effectiveness of young children’s postural education programmes, to enhance experiences of movement variability and strategies for postural control in playful activities, is of great relevance for children’s healthy development, and can also have positive impacts on environmental and social sustainability by promoting healthy and conscious lifestyles.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.401
Teacher spread0.374 · 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

Citations17
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSustainabilitySame topicChildren's Physical and Motor DevelopmentFrench-language works237,207