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AUTONOMIA DE PROFESSORES DA EDUCAÇÃO BÁSICA: EM BUSCA DE COMPREENSÃO

2022· article· pt· W4383504710 on OpenAlexaff
Maria José Oliveira Duboc

Bibliographic record

VenueSitientibus · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

O presente trabalho tem por objetivo refletir sobre a importânciada autonomia do professor enquanto qualidade do fazer docente.Analisar o que pensam os professores sobre o desenvolvimento da própriaautonomia constitui um poderoso instrumento para o desvelamentoe a ressignificação do trabalho que desenvolvem. Trata-se de recorte deuma investigação já concluída, de natureza qualitativa do tipo estudo decaso, tendo como sujeitos professoras de uma escola da Educação Básicada cidade de Feira de Santana. Neste texto, inicialmente, discute-secomo ocorreu a investigação, o processo de coleta de dados e o contextoda pesquisa. Em seguida, a autonomia é tratada à luz de teóricos efazendo interface com os dados empíricos. Ao desvelar como os docentespercebem a autonomia do trabalho que exercem, a pesquisa permitecompreender as implicações, não apenas no contexto da sala de aula,mas, também, no âmbito institucional e social.

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)0.010
metaresearch head score (Gemma)0.018
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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.007
Scholarly communication0.0090.008
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.082
GPT teacher head0.412
Teacher spread0.330 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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