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Record W2128213033 · doi:10.20355/c5dw2r

Participative management in a public school of the periphery in Distrito Federal: A good way?

2013· article· en· W2128213033 on OpenAlexvenueno aff
Magali Fátima Evangelista Machado, Olzeni Leite Costa Ribeiro, Marcelino Tameirão-Machado

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseGovernment (linguistics)Rank (graph theory)Dropout (neural networks)Plan (archaeology)Quality (philosophy)School dropoutBasic educationPolitical sciencePedagogyMathematics educationMedical educationPsychologySociologyGeographyComputer scienceMedicineMathematicsSocioeconomics

Abstract

fetched live from OpenAlex

The present article has as an aim to assess the data of a school based education on the periphery area in Distrito Federal and that has been obtaining, according to the results of the National System of Basic Education Assessment (SAEB) and Prova Brasil, successive increase in the rank of the Index of Development of Basic Education (IDEB) in the years 2005, 2007 and 2009 and that works the participative management by means of discussions among the head of the school, teachers, students and their parents. The IDEB refers to the quality indicator, created by the federal government that integrates the aims of the Development Plan of Education (PDE). The IDEB is calculated based on the performance of students in institutional evaluations of Portuguese and Mathematics, data of failure, school dropout and rates of the students passing in examinations. As a main objective, the article has a proposal to present these results and discuss the proposed actions by the head of the school and the parents’ participation, teachers, staff and students.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.416
Teacher spread0.342 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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