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Record W4401420081 · doi:10.55905/cuadv16n8-041

Impacto do isolamento social em crianças matriculadas na educação infantil ou ensino fundamental I de Piracicaba, SP, Brasil: padrão nutricional

2024· article· pt· W4401420081 on OpenAlexaff
Leonardo Mendes, Gabriela Cateb Ramos, Laura Scott Campos, Patrícia Ucelli Simioni, Cecília Oliveira Barbosa Buck

Bibliographic record

VenueCuadernos de Educación y Desarrollo · 2024
Typearticle
Languagept
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesAgricultural sciencePolitical scienceBiologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Avaliar os efeitos do isolamento social na alimentação e nutrição de crianças da rede municipal de ensino de Piracicaba, SP, durante a pandemia de COVID-19. Métodos: Pesquisa descritiva, analítica e prospectiva com questionários preenchidos por responsáveis de crianças entre 24 e 120 meses matriculadas em creches/escolas públicas. Resultados: Foram analisados 3.054 questionários completos. Observou-se mudanças significativas nos padrões alimentares, alterações fisiológicas e na rotina alimentar das crianças. Apesar da oferta de frutas e verduras na alimentação escolar, muitos alunos não consumiram esses alimentos em casa durante a pandemia. Conclusão: A pandemia impactou a renda familiar e os hábitos alimentares, indicando a necessidade de políticas públicas para mitigar deficiências alimentares e nutricionais identificadas.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.397
Teacher spread0.349 · 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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