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Record W1913707611 · doi:10.24934/eef.v17i23.538

A concepção das ciências e do agir responsável dos estudantes face às mudanças climáticas

2014· article· pt· W1913707611 on OpenAlexaffabout
Barbara Bader, Agnieszka Jeziorski, Geneviève Therriault

Bibliographic record

VenueEducação em Foco · 2014
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesFace (sociological concept)PhilosophyLinguistics

Abstract

fetched live from OpenAlex

A escola vem sendo desafiada, cada vez mais na atualidade, pelas questões ambientais que, por serem tratadas em sala-de aula, merecem ser enriquecidas pela concepção escolar das ciências e das práticas pedagógicas. Neste sentido, e considerando as exigências dos programas escolares que incentivam os professores de ciências a ensinarem as mudanças climática de forma interdisciplinar e os professores de história a tratar esta Questão Ambiental Socialmente Viva com a preocupação de educar para a cidadania, concebemos e testamos uma abordagem interdisciplinar de ensino para os alunos do secondaire 4) TRADUZIDO NO TEXTO COMO ENSINO MEDIO, POIS OS ALUNOS TÊM EM MÉDIA 16 ANOS * VER PAGINA 9 – PONTO 5, 1° PARAGRAFO) ensino médio de seis turmas escolares da cidade de Quebec. Inspirados da ilha de racionalidade proposta por Fourez, Maigain e Dufour (2002), o que se pretende é uma tentativa de renovação da forma escolar, mais interdisciplinar, na qual os alunos são relativamente autônomos. Os resultados aqui apresentados referem-se, particularmente, às concepções dos alunos sobre a natureza das ciências, tal como eles nos descreveram em entrevistas realizadas após o processo pedagógico. Especificamos, igualmente, os tipos de engajamento cívico que eles dizem, durante as entrevistas, privilegiar. Esses resultados traduzem uma maneira mais sutil de se pensar as ciências, por parte dos estudantes, e apontam para uma valorização real desse tipo de pedagogia.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.009

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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations1
Published2014
Admission routes2
Has abstractyes

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