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Record W2904411587 · doi:10.22347/2175-2753v10i30.1728

Sistema de Ensino Naval: uma experiência na pratica do ensino por competências

2018· article· pt· W2904411587 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Meta Avaliação · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyPsychologyPedagogy

Abstract

fetched live from OpenAlex

O presente artigo aborda a experiencia do Curso de Formação de Marinheiros (MN) na Marinha do Brasil na concepcao de Curriculo por competencias. Tem como objetivo apresentar a metodologia de mapeamento das competencias e dos perfis profissionais sistematizados pelo itinerario formativo atinente à profissao do MN, para o exercicio de tarefas, atividades e funcoes da Forca. Para acompanhar esse processo de formação, foi adotado um calendario unificado de atividades nas quatro Escolas de Aprendizes-Marinheiros (EAM) e desenvolvida uma sistematica de avaliação que possibilite avaliar as competencias delineadas no curriculo por meio de provas padronizadas. Serao apresentados os resultados do desempenho academico dos alunos das quatro EAM e analisados, comparativamente, em relação ao desempenho da turma do ano anterior, indicando uma melhora do desempenho dos alunos e a evolução qualitativa da turma de 2017, apos implementadas acoes em busca de uma formação continua e progressiva.

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)0.009
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.005

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 head0.149
GPT teacher head0.403
Teacher spread0.254 · 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