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Record W4396601857 · doi:10.52641/cadcajv7i3.62

REFERENCIAL CURRICULAR AMAZONENSE PARA A EDUCAÇÃO INFANTIL:

2022· article· pt· W4396601857 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCadernos Cajuína · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsPedagogyPsychologyMathematics educationSociology

Abstract

fetched live from OpenAlex

A aprovação da Base Nacional Comum Curricular (BNCC) no Brasil desencadeou, conforme previsto no seu Programa de Apoio à Implementação, a revisão ou elaboração de currículos subnacionais pelos estados da federação alinhados à Base. O presente artigo insere-se nesse cenário de emergência e atualização desses currículos no país a partir de 2017, pelo que tomamos à análise o Referencial Curricular Amazonense para a Educação Infantil (RCA-EI). Com o objetivo de compreender os processos de construção do RCA-EI e suas implicações para a educação de crianças no Amazonas, realizamos um estudo exploratório de abordagem qualitativa que se baseou em frentes de revisão de literatura e análise documental. Nossos resultados apontam avanços significativos, sobretudo no que se refere à participação de representantes de diferentes municípios, sindicatos e docentes do ensino superior na elaboração do documento, de um lado; e tensões e contradições ligadas às concepções de infância, aprendizagem e desenvolvimento no interior do texto do RCA-EI, de outro.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.002

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 head0.151
GPT teacher head0.426
Teacher spread0.276 · 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