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Record W2948838729 · doi:10.21814/rpe.13439

O Estágio Curricular Supervisionado como Lócus Central da Profissionalização do Ensino

2019· article· pt· W2948838729 on OpenAlexaff
Samuel de Souza Neto, Marina Cyrino, Cécilia Borges

Bibliographic record

VenueRevista Portuguesa de Educação · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O presente artigo focaliza a formação inicial de professores e o movimento de profissionalização do ensino, tendo como objeto central de investigação o estágio curricular. Elencam-se duas questões de estudo para discussão: 1) Como a questão do estágio curricular supervisionado tem se manifestado na formação inicial de professores?; 2) As reformas propostas no âmbito da formação inicial docente a nível internacional e brasileiro, especificamente do estágio curricular, tomam a profissionalização como pressuposto? Inicialmente são apresentados aspectos conceituais sobre o processo de profissionalização do ensino. Em seguida, fazemos uma breve trajetória sobre como a formação docente foi compreendida e concebida no âmbito da prática. Posteriormente, exploramos alguns exemplos do Brasil, França e Canadá. Nas análises realizadas, observamos que, a partir do processo de profissionalização, a universidade e as instituições de ensino superior assumem a formação inicial de professores, tendo que se estruturar e se organizar para atender suas demandas específicas, assumindo elementos da proposta do modelo profissional de formação. Palavras-chave: Formação de professores; Estágio curricular supervisionado; Profissionalização

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)0.013
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 score0.028
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.007
Scholarly communication0.0110.005
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.051
GPT teacher head0.381
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".

Quick stats

Citations19
Published2019
Admission routes1
Has abstractyes

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