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Record W2727741558 · doi:10.1590/2238-38752012v248

DESEMPENHO INDIVIDUAL E ORGANIZAÇÃO ESCOLAR NA REALIZAÇÃO EDUCACIONAL

2012· article· pt· W2727741558 on OpenAlexaff
Nelson do Valle Silva, Maria Lígia de Oliveira Barbosa

Bibliographic record

VenueSociologia & Antropologia · 2012
Typearticle
Languagept
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Resumo: Esse artigo analisa algumas representações dos brasileiros sobre seu processo de escolarização (avaliações e lembranças sobre escola e professores) e suas relações com a objetivação dessas representações em trajetórias escolares diferenciadas (níveis de desempenho escolar dos entrevistados). São descritas as variáveis clássicas - idade, sexo e origem social - dos chefes de família e cônjuges integrantes da nossa amostra, que é representativa da população brasileira. A escola foi caracterizada como um fator interveniente na trajetória social dos indivíduos através de três avaliações da experiência individual: a escola, o professor e a própria posição entre os colegas. Analisou-se o peso dessas experiências escolares na determinação dos diferentes níveis de sucesso escolar em relação ao peso da origem familiar ou social. No contexto brasileiro, origem social determina fortemente as trajetórias escolares. A escola não foi capaz ainda de reduzir substancialmente os impactos da origem social dos alunos sobre o seu destino.

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)0.005
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.072
GPT teacher head0.362
Teacher spread0.291 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

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