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Record W4401606673 · doi:10.12957/teias.2024.83732

Navegando pela história do Movimento de Educação de Base e margeando suas propostas educativas:

2024· article· pt· W4401606673 on OpenAlexaff
Leni Rodrigues Coelho

Bibliographic record

VenueRevista TEIAS · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsMonsanto (Canada)
Fundersnot available
KeywordsBase (topology)Mathematics

Abstract

fetched live from OpenAlex

Este artigo é parte constituinte da pesquisa realizada no processo de doutoramento que trata sobre o Movimento de Educação de Base (MEB), no município de Tefé/AM. Tivemos como objetivo analisar as propostas educativas do MEB em Tefé, direcionadas para a população ribeirinha no período de 1963 a 1973. Para a compreensão da sua historicidade, utilizamos como fontes documentais os relatórios, as propostas pedagógicas, os termos de convênios, os scripts e as matérias jornalísticas acessadas por meio do portal da Hemeroteca Digital da Biblioteca Nacional. Para estabelecer diálogo com essas fontes, apropriamo-nos de autores que tratam do Movimento de Educação de Base em diferentes contextos. Quanto ao embasamento metodológico, aproximamo-nos das ideias de Certeau (2017), Prost (2008) e Ginzburg (1989). Evidenciamos que o MEB, a partir de suas ações, envolveu a população ribeirinha em práticas relacionadas à educação, à saúde, ao lazer, à religião e à cultura. Utilizando-se do MEB, a Igreja Católica se fez presente em áreas longínquas do Norte do país, assumindo, muitas vezes, o papel do Estado.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0090.012
Scholarly communication0.0100.008
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.068
GPT teacher head0.427
Teacher spread0.359 · 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 designNot applicable
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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