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Record W3087683630 · doi:10.18224/educ.v22i1.6655

Utilização de Materiais Didáticos Para Ensinar Ciências Humanas na Escola Primária

2019· article· pt· W3087683630 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 Educativa - Revista de Educação · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Em um estudo recente que investigou as características das técnicas de ensino aplicadas ao ensino de ciências humanas em alunos do ensino fundamental, foram levantadas questões sobre o lugar e o papel dos materiais de ensino na prática de ensino utilizada pelos futuros professores durante o estágio. Quais são os materiais de ensino preferidos usados? Como esses materiais são usados? Por que esses materiais são escolhidos? Os dados de entrevistas semiestruturadas e observações diretas em sala de aula indicam que os futuros professores recorrem principalmente a livros didáticos, que são usados tanto para apoiar o planejamento do estágio de ensino, como para fornecer aos futuros professores uma fonte de informação e uma fonte de apoio visual durante as aulas. Os futuros professores também recorrem aos livros de atividades dos alunos e aos registros dos trabalhos que eles desenvolvem para orientar os exercícios para o aprendizado dos alunos. Além disso, esses materiais são escolhidos principalmente por causa de seu potencial de motivar e despertar o interesse dos alunos e, para esse fim, foram considerados satisfatórios.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.440
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.008

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 head0.088
GPT teacher head0.410
Teacher spread0.323 · 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