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Record W2767226816 · doi:10.5753/cbie.wcbie.2017.704

Data Mart para Análise Comparativa de Dados do IDEB em Municípios da Microrregião do Pajeú em Pernambuco

2017· article· pt· W2767226816 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnais ... Workshops do Congresso Brasileiro de Informática na Educação · 2017
Typearticle
Languagept
FieldMathematics
TopicStatistical Methods and Applications
Canadian institutionsnot available
FundersCanadian Bureau for International Education
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

O Índice de Desenvolvimento da Educação Básica (IDEB) é um índice que faz um relacionamento de forma positiva sobre informações de rendimento escolar e proficiência de escolas do ensino básico do Brasil. Sua maneira de avaliação trouxe uma nova forma de analisar os dados da educação básica dos municípios, pois avalia principalmente o aprendizado do aluno ao longo de sua vida escolar. Devido a essa importância do IDEB, este trabalho tem como objetivo apresentar um data mart para análise comparativa com base nos dados do IDEB e suas metas, entre municípios da microrregião do Pajeú, situada no semiárido pernambucano, com o propósito de apoiar a tomada de decisão de gestores municipais e contribuir para elaboração de políticas educacionais.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0080.002
Open science0.0090.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.187
GPT teacher head0.445
Teacher spread0.258 · 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